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: wind_speed | code: hub | fields: ts, unit, value, lon
Sensor: temperature | fields: depth, lat, unit, level
Task: Fetch depth from wind_speed that have at least one corresponding temperature measurement for the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001900 | train |
v3 | Sensor network script:
Node: turbidity | code: mst | fields: reading, level, ts, depth
Sensor: air_quality | fields: lat, ts, reading, level
Task: Retrieve lon from turbidity with depth above the MIN(value) of air_quality readings sharing the same type.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("air_quality", code="prt"),
match="type"),
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001901 | train |
v1 | Sensor network script:
Node: air_quality | code: ref | fields: value, depth, qc, lon
Sensor: rainfall | fields: ts, lon, level, lat
Task: Fetch lon from air_quality where qc exists in rainfall sensor data for the same type.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001902 | train |
v1 | Sensor network script:
Node: cloud_cover | code: hub | fields: ts, type, unit, reading
Sensor: temperature | fields: ts, depth, value, lon
Task: Get reading from cloud_cover where qc appears in temperature readings with matching qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=set_member(
field="qc",
source=Probe("temperature", code="thr"),
match="qc",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001903 | train |
v3 | Sensor network script:
Node: humidity | code: clr | fields: type, ts, lon, level
Sensor: wind_speed | fields: unit, value, level, lat
Task: Get level from humidity where reading exceeds the maximum value from wind_speed for the same type.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("wind_speed", code="gst"),
match="type"),
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001904 | train |
v2 | Sensor network script:
Node: evaporation | code: ref | fields: lat, qc, unit, ts
Sensor: sunlight | fields: lat, lon, type, qc
Task: Retrieve value from evaporation that have at least one matching reading in sunlight sharing the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001905 | train |
v1 | Sensor network script:
Node: snow_depth | code: clr | fields: qc, reading, lon, lat
Sensor: wind_speed | fields: lat, reading, qc, level
Task: Get depth from snow_depth where depth appears in wind_speed readings with matching ts.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=set_member(
field="depth",
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001906 | train |
v1 | Sensor network script:
Node: wind_speed | code: stn | fields: lat, ts, value, unit
Sensor: uv_index | fields: lat, reading, type, depth
Task: Retrieve value from wind_speed whose depth is found in uv_index records where unit matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=set_member(
field="depth",
source=Probe("uv_index", code="flx"),
match="unit",
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001907 | train |
v3 | Sensor network script:
Node: temperature | code: thr | fields: lat, depth, ts, reading
Sensor: cloud_cover | fields: type, reading, depth, ts
Task: Fetch depth from temperature where value is greater than the count of of reading in cloud_cover for matching qc.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("cloud_cover", code="nbl"),
match="qc"),
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001908 | train |
v1 | Sensor network script:
Node: humidity | code: thr | fields: type, lat, reading, unit
Sensor: pressure | fields: reading, level, lat, unit
Task: Get reading from humidity where type appears in pressure readings with matching unit.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=set_member(
field="type",
source=Probe("pressure", code="mbl"),
match="unit",
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001909 | train |
v3 | Sensor network script:
Node: temperature | code: clr | fields: lat, qc, level, reading
Sensor: uv_index | fields: reading, type, lat, level
Task: Get reading from temperature where depth exceeds the minimum value from uv_index for the same type.
Script: | readings = fetch(
node=Node("temperature", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("uv_index", code="flx"),
match="type"),
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001910 | train |
v1 | Sensor network script:
Node: drought_index | code: ref | fields: qc, depth, type, reading
Sensor: cloud_cover | fields: type, reading, value, level
Task: Fetch depth from drought_index where unit exists in cloud_cover sensor data for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001911 | train |
v2 | Sensor network script:
Node: sunlight | code: gst | fields: reading, qc, ts, lat
Sensor: rainfall | fields: unit, qc, type, value
Task: Fetch lon from sunlight that have at least one corresponding rainfall measurement for the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001912 | train |
v2 | Sensor network script:
Node: frost | code: mst | fields: qc, lon, ts, level
Sensor: soil_moisture | fields: level, value, qc, reading
Task: Fetch lat from frost that have at least one corresponding soil_moisture measurement for the same unit.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001913 | train |
v2 | Sensor network script:
Node: turbidity | code: mst | fields: lat, type, reading, unit
Sensor: lightning | fields: unit, value, type, ts
Task: Get level from turbidity where a corresponding entry exists in lightning with the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="ts",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001914 | train |
v3 | Sensor network script:
Node: visibility | code: ref | fields: depth, type, qc, lon
Sensor: air_quality | fields: unit, reading, type, lon
Task: Retrieve lat from visibility with reading above the SUM(depth) of air_quality readings sharing the same type.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("air_quality", code="prt"),
match="type"),
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001915 | train |
v1 | Sensor network script:
Node: evaporation | code: mst | fields: level, lon, value, unit
Sensor: dew_point | fields: depth, value, lat, reading
Task: Get depth from evaporation where depth appears in dew_point readings with matching unit.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001916 | train |
v3 | Sensor network script:
Node: cloud_cover | code: hub | fields: unit, depth, lat, reading
Sensor: turbidity | fields: lon, type, value, qc
Task: Get depth from cloud_cover where value exceeds the count of reading from turbidity for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("turbidity", code="ftu"),
match="ts"),
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001917 | train |
v1 | Sensor network script:
Node: soil_moisture | code: ref | fields: depth, lon, ts, value
Sensor: wind_speed | fields: lon, depth, level, lat
Task: Get depth from soil_moisture where qc appears in wind_speed readings with matching type.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="type",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001918 | train |
v1 | Sensor network script:
Node: uv_index | code: gst | fields: lon, level, lat, depth
Sensor: turbidity | fields: depth, value, lon, lat
Task: Get depth from uv_index where type appears in turbidity readings with matching qc.
Script: | readings = fetch(
node=Node("uv_index", code="gst"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001919 | train |
v3 | Sensor network script:
Node: frost | code: mst | fields: depth, qc, ts, lon
Sensor: lightning | fields: unit, type, depth, value
Task: Get reading from frost where value exceeds the minimum reading from lightning for the same depth.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "reading",
source=Probe("lightning", code="tnd"),
match="depth"),
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001920 | train |
v3 | Sensor network script:
Node: wind_speed | code: gst | fields: qc, lon, depth, lat
Sensor: cloud_cover | fields: ts, type, depth, reading
Task: Get depth from wind_speed where depth exceeds the maximum depth from cloud_cover for the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001921 | train |
v3 | Sensor network script:
Node: evaporation | code: clr | fields: reading, type, level, value
Sensor: dew_point | fields: type, reading, qc, lat
Task: Fetch lat from evaporation where value is greater than the maximum of depth in dew_point for matching ts.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("dew_point", code="cnd"),
match="ts"),
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001922 | train |
v1 | Sensor network script:
Node: snow_depth | code: clr | fields: ts, depth, level, value
Sensor: pressure | fields: ts, lat, type, unit
Task: Retrieve lon from snow_depth whose ts is found in pressure records where type matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=set_member(
field="ts",
source=Probe("pressure", code="mbl"),
match="type",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "clr",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001923 | train |
v2 | Sensor network script:
Node: lightning | code: stn | fields: value, lon, reading, lat
Sensor: visibility | fields: depth, level, unit, value
Task: Retrieve level from lightning that have at least one matching reading in visibility sharing the same unit.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001924 | train |
v2 | Sensor network script:
Node: visibility | code: thr | fields: ts, level, value, depth
Sensor: rainfall | fields: ts, value, depth, reading
Task: Retrieve lat from visibility that have at least one matching reading in rainfall sharing the same unit.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001925 | train |
v1 | Sensor network script:
Node: humidity | code: gst | fields: unit, value, lon, ts
Sensor: temperature | fields: qc, lat, ts, level
Task: Fetch lon from humidity where unit exists in temperature sensor data for the same ts.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=set_member(
field="unit",
source=Probe("temperature", code="thr"),
match="ts",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001926 | train |
v3 | Sensor network script:
Node: frost | code: stn | fields: value, qc, lon, unit
Sensor: evaporation | fields: lon, level, qc, type
Task: Get lon from frost where reading exceeds the count of value from evaporation for the same ts.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("evaporation", code="evp"),
match="ts"),
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001927 | train |
v2 | Sensor network script:
Node: turbidity | code: clr | fields: lat, unit, ts, level
Sensor: uv_index | fields: lon, lat, value, reading
Task: Fetch reading from turbidity that have at least one corresponding uv_index measurement for the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="qc",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001928 | train |
v1 | Sensor network script:
Node: cloud_cover | code: ref | fields: type, reading, level, ts
Sensor: turbidity | fields: unit, reading, type, value
Task: Retrieve level from cloud_cover whose type is found in turbidity records where ts matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001929 | train |
v3 | Sensor network script:
Node: cloud_cover | code: mst | fields: value, qc, unit, lon
Sensor: uv_index | fields: lon, depth, reading, unit
Task: Fetch value from cloud_cover where value is greater than the total of value in uv_index for matching unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("uv_index", code="flx"),
match="unit"),
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001930 | train |
v1 | Sensor network script:
Node: evaporation | code: stn | fields: value, qc, reading, ts
Sensor: dew_point | fields: lon, reading, depth, value
Task: Get reading from evaporation where type appears in dew_point readings with matching depth.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=set_member(
field="type",
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001931 | train |
v2 | Sensor network script:
Node: rainfall | code: thr | fields: level, lat, qc, lon
Sensor: cloud_cover | fields: reading, value, depth, lat
Task: Get level from rainfall where a corresponding entry exists in cloud_cover with the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001932 | train |
v1 | Sensor network script:
Node: frost | code: thr | fields: value, unit, lat, level
Sensor: air_quality | fields: reading, lon, level, depth
Task: Fetch value from frost where depth exists in air_quality sensor data for the same ts.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001933 | train |
v3 | Sensor network script:
Node: soil_moisture | code: ref | fields: qc, lon, unit, level
Sensor: visibility | fields: lon, depth, type, value
Task: Retrieve depth from soil_moisture with depth above the MIN(reading) of visibility readings sharing the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("visibility", code="clr"),
match="type"),
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001934 | train |
v2 | Sensor network script:
Node: frost | code: prt | fields: lon, reading, level, depth
Sensor: lightning | fields: qc, lat, depth, lon
Task: Get lat from frost where a corresponding entry exists in lightning with the same ts.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="ts",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001935 | train |
v1 | Sensor network script:
Node: frost | code: prt | fields: lon, ts, qc, depth
Sensor: soil_moisture | fields: type, level, ts, qc
Task: Retrieve lat from frost whose ts is found in soil_moisture records where qc matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=set_member(
field="ts",
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "prt",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001936 | train |
v2 | Sensor network script:
Node: rainfall | code: hub | fields: type, depth, level, lon
Sensor: uv_index | fields: unit, lon, depth, qc
Task: Fetch level from rainfall that have at least one corresponding uv_index measurement for the same type.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001937 | train |
v3 | Sensor network script:
Node: visibility | code: gst | fields: unit, reading, depth, qc
Sensor: turbidity | fields: lon, value, ts, qc
Task: Get level from visibility where reading exceeds the minimum value from turbidity for the same ts.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("turbidity", code="ftu"),
match="ts"),
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001938 | train |
v2 | Sensor network script:
Node: humidity | code: ref | fields: level, qc, depth, reading
Sensor: air_quality | fields: type, unit, depth, level
Task: Fetch depth from humidity that have at least one corresponding air_quality measurement for the same ts.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="ts",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001939 | train |
v1 | Sensor network script:
Node: sunlight | code: thr | fields: depth, level, qc, lon
Sensor: evaporation | fields: value, reading, ts, qc
Task: Get lat from sunlight where unit appears in evaporation readings with matching unit.
Script: | readings = fetch(
node=Node("sunlight", code="thr"),
filter=set_member(
field="unit",
source=Probe("evaporation", code="evp"),
match="unit",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "evaporation",
"outer_alias": "thr",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001940 | train |
v1 | Sensor network script:
Node: pressure | code: hub | fields: depth, reading, lon, lat
Sensor: air_quality | fields: value, ts, unit, depth
Task: Get lon from pressure where depth appears in air_quality readings with matching ts.
Script: | readings = fetch(
node=Node("pressure", code="hub"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001941 | train |
v3 | Sensor network script:
Node: frost | code: prt | fields: level, value, depth, type
Sensor: lightning | fields: depth, unit, value, qc
Task: Get reading from frost where value exceeds the average value from lightning for the same unit.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("lightning", code="tnd"),
match="unit"),
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001942 | train |
v2 | Sensor network script:
Node: rainfall | code: ref | fields: ts, unit, qc, lon
Sensor: cloud_cover | fields: lat, ts, qc, lon
Task: Get depth from rainfall where a corresponding entry exists in cloud_cover with the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001943 | train |
v2 | Sensor network script:
Node: drought_index | code: stn | fields: type, depth, ts, lat
Sensor: cloud_cover | fields: type, value, lon, reading
Task: Fetch lat from drought_index that have at least one corresponding cloud_cover measurement for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001944 | train |
v2 | Sensor network script:
Node: temperature | code: hub | fields: lon, reading, ts, depth
Sensor: rainfall | fields: reading, level, depth, type
Task: Fetch value from temperature that have at least one corresponding rainfall measurement for the same type.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001945 | train |
v2 | Sensor network script:
Node: dew_point | code: ref | fields: level, value, depth, unit
Sensor: rainfall | fields: lon, lat, value, qc
Task: Get depth from dew_point where a corresponding entry exists in rainfall with the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001946 | train |
v1 | Sensor network script:
Node: temperature | code: hub | fields: ts, type, value, lon
Sensor: frost | fields: reading, lat, qc, lon
Task: Retrieve reading from temperature whose depth is found in frost records where type matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=set_member(
field="depth",
source=Probe("frost", code="frs"),
match="type",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001947 | train |
v2 | Sensor network script:
Node: wind_speed | code: stn | fields: value, level, unit, type
Sensor: uv_index | fields: reading, value, depth, level
Task: Get lon from wind_speed where a corresponding entry exists in uv_index with the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001948 | train |
v3 | Sensor network script:
Node: cloud_cover | code: gst | fields: reading, type, qc, lat
Sensor: rainfall | fields: lon, unit, lat, value
Task: Retrieve level from cloud_cover with value above the MIN(depth) of rainfall readings sharing the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("rainfall", code="rnfl"),
match="ts"),
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001949 | train |
v2 | Sensor network script:
Node: evaporation | code: prt | fields: value, reading, level, depth
Sensor: soil_moisture | fields: lon, type, qc, depth
Task: Retrieve lon from evaporation that have at least one matching reading in soil_moisture sharing the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "soil_moisture",
"outer_alias": "prt",
"inner_alias": "grvl",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001950 | train |
v2 | Sensor network script:
Node: dew_point | code: prt | fields: unit, qc, value, level
Sensor: frost | fields: lon, value, level, type
Task: Get depth from dew_point where a corresponding entry exists in frost with the same unit.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=has_match(
source=Probe("frost", code="frs"),
match="unit",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001951 | train |
v2 | Sensor network script:
Node: wind_speed | code: hub | fields: ts, reading, depth, lat
Sensor: soil_moisture | fields: qc, type, lat, reading
Task: Fetch level from wind_speed that have at least one corresponding soil_moisture measurement for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001952 | train |
v1 | Sensor network script:
Node: soil_moisture | code: gst | fields: qc, lat, depth, level
Sensor: pressure | fields: unit, value, reading, type
Task: Get lon from soil_moisture where unit appears in pressure readings with matching ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=set_member(
field="unit",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001953 | train |
v2 | Sensor network script:
Node: visibility | code: prt | fields: lon, type, reading, value
Sensor: evaporation | fields: depth, type, ts, lon
Task: Fetch lat from visibility that have at least one corresponding evaporation measurement for the same ts.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="ts",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "evaporation",
"outer_alias": "prt",
"inner_alias": "evp",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001954 | train |
v1 | Sensor network script:
Node: rainfall | code: gst | fields: reading, lat, ts, depth
Sensor: uv_index | fields: depth, lat, value, type
Task: Get lon from rainfall where depth appears in uv_index readings with matching unit.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=set_member(
field="depth",
source=Probe("uv_index", code="flx"),
match="unit",
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001955 | train |
v1 | Sensor network script:
Node: visibility | code: mst | fields: type, level, ts, reading
Sensor: air_quality | fields: level, lat, value, lon
Task: Fetch value from visibility where ts exists in air_quality sensor data for the same ts.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001956 | train |
v1 | Sensor network script:
Node: temperature | code: thr | fields: type, unit, qc, value
Sensor: turbidity | fields: lon, reading, unit, lat
Task: Fetch depth from temperature where depth exists in turbidity sensor data for the same unit.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=set_member(
field="depth",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001957 | train |
v3 | Sensor network script:
Node: wind_speed | code: prt | fields: value, qc, lat, reading
Sensor: temperature | fields: level, qc, ts, lat
Task: Retrieve level from wind_speed with value above the AVG(depth) of temperature readings sharing the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("temperature", code="thr"),
match="type"),
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001958 | train |
v1 | Sensor network script:
Node: frost | code: mst | fields: depth, unit, reading, value
Sensor: wind_speed | fields: level, lon, reading, value
Task: Get reading from frost where type appears in wind_speed readings with matching depth.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=set_member(
field="type",
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "wind_speed",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001959 | train |
v2 | Sensor network script:
Node: drought_index | code: thr | fields: value, lat, depth, lon
Sensor: humidity | fields: depth, lat, reading, value
Task: Fetch level from drought_index that have at least one corresponding humidity measurement for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001960 | train |
v1 | Sensor network script:
Node: pressure | code: thr | fields: lon, unit, depth, ts
Sensor: visibility | fields: lat, value, reading, lon
Task: Fetch lat from pressure where type exists in visibility sensor data for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="thr"),
filter=set_member(
field="type",
source=Probe("visibility", code="clr"),
match="depth",
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "lat",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001961 | train |
v2 | Sensor network script:
Node: drought_index | code: thr | fields: level, lon, value, lat
Sensor: cloud_cover | fields: lon, value, qc, type
Task: Fetch depth from drought_index that have at least one corresponding cloud_cover measurement for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001962 | train |
v1 | Sensor network script:
Node: lightning | code: clr | fields: level, ts, qc, unit
Sensor: evaporation | fields: lat, ts, depth, type
Task: Get lat from lightning where type appears in evaporation readings with matching depth.
Script: | readings = fetch(
node=Node("lightning", code="clr"),
filter=set_member(
field="type",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001963 | train |
v1 | Sensor network script:
Node: frost | code: ref | fields: reading, ts, unit, value
Sensor: snow_depth | fields: value, lon, reading, depth
Task: Retrieve level from frost whose depth is found in snow_depth records where ts matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=set_member(
field="depth",
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001964 | train |
v2 | Sensor network script:
Node: uv_index | code: stn | fields: ts, value, type, unit
Sensor: evaporation | fields: type, depth, unit, lat
Task: Get lon from uv_index where a corresponding entry exists in evaporation with the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="unit",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001965 | train |
v2 | Sensor network script:
Node: evaporation | code: stn | fields: depth, reading, value, lat
Sensor: soil_moisture | fields: depth, qc, type, value
Task: Get value from evaporation where a corresponding entry exists in soil_moisture with the same type.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001966 | train |
v1 | Sensor network script:
Node: sunlight | code: gst | fields: level, reading, depth, qc
Sensor: air_quality | fields: type, level, reading, unit
Task: Fetch lat from sunlight where depth exists in air_quality sensor data for the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001967 | train |
v2 | Sensor network script:
Node: humidity | code: stn | fields: type, unit, value, depth
Sensor: evaporation | fields: ts, type, reading, depth
Task: Fetch value from humidity that have at least one corresponding evaporation measurement for the same type.
Script: | readings = fetch(
node=Node("humidity", code="stn"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="type",
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001968 | train |
v3 | Sensor network script:
Node: soil_moisture | code: mst | fields: qc, level, ts, lat
Sensor: lightning | fields: qc, lat, value, lon
Task: Retrieve depth from soil_moisture with reading above the MAX(depth) of lightning readings sharing the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001969 | train |
v2 | Sensor network script:
Node: frost | code: stn | fields: unit, lon, type, value
Sensor: snow_depth | fields: depth, reading, unit, level
Task: Fetch value from frost that have at least one corresponding snow_depth measurement for the same qc.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001970 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: lat, lon, value, qc
Sensor: wind_speed | fields: depth, type, lon, qc
Task: Retrieve lat from evaporation whose depth is found in wind_speed records where unit matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="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",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001971 | train |
v1 | Sensor network script:
Node: cloud_cover | code: stn | fields: lat, level, depth, type
Sensor: temperature | fields: lon, type, unit, lat
Task: Retrieve reading from cloud_cover whose unit is found in temperature records where type matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=set_member(
field="unit",
source=Probe("temperature", code="thr"),
match="type",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001972 | train |
v3 | Sensor network script:
Node: visibility | code: ref | fields: type, lat, ts, unit
Sensor: turbidity | fields: value, level, type, qc
Task: Fetch reading from visibility where depth is greater than the average of reading in turbidity for matching unit.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("turbidity", code="ftu"),
match="unit"),
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001973 | train |
v3 | Sensor network script:
Node: lightning | code: mst | fields: reading, depth, qc, ts
Sensor: uv_index | fields: lat, value, lon, depth
Task: Fetch reading from lightning where reading is greater than the average of reading in uv_index for matching ts.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("uv_index", code="flx"),
match="ts"),
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001974 | train |
v3 | Sensor network script:
Node: humidity | code: hub | fields: value, type, level, lat
Sensor: lightning | fields: type, lon, qc, value
Task: Fetch lat from humidity where value is greater than the average of depth in lightning for matching type.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001975 | train |
v1 | Sensor network script:
Node: uv_index | code: hub | fields: level, lat, ts, reading
Sensor: evaporation | fields: lat, unit, qc, level
Task: Retrieve reading from uv_index whose qc is found in evaporation records where depth matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001976 | train |
v3 | Sensor network script:
Node: wind_speed | code: ref | fields: unit, level, ts, qc
Sensor: dew_point | fields: ts, unit, level, type
Task: Fetch value from wind_speed where value is greater than the total of reading in dew_point for matching depth.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("dew_point", code="cnd"),
match="depth"),
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001977 | train |
v2 | Sensor network script:
Node: snow_depth | code: mst | fields: type, qc, unit, ts
Sensor: dew_point | fields: value, lat, unit, ts
Task: Fetch lat from snow_depth that have at least one corresponding dew_point measurement for the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="type",
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001978 | train |
v2 | Sensor network script:
Node: humidity | code: prt | fields: qc, value, level, type
Sensor: snow_depth | fields: ts, type, lat, qc
Task: Fetch lon from humidity that have at least one corresponding snow_depth measurement for the same type.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="type",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001979 | train |
v1 | Sensor network script:
Node: lightning | code: hub | fields: qc, unit, lon, reading
Sensor: snow_depth | fields: value, qc, type, lat
Task: Get lon from lightning where type appears in snow_depth readings with matching qc.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "lon",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001980 | train |
v1 | Sensor network script:
Node: temperature | code: hub | fields: value, ts, depth, reading
Sensor: evaporation | fields: unit, lon, qc, ts
Task: Get lat from temperature where ts appears in evaporation readings with matching ts.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=set_member(
field="ts",
source=Probe("evaporation", code="evp"),
match="ts",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001981 | train |
v2 | Sensor network script:
Node: wind_speed | code: hub | fields: level, type, lat, depth
Sensor: rainfall | fields: lon, level, qc, ts
Task: Retrieve lon from wind_speed that have at least one matching reading in rainfall sharing the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001982 | train |
v2 | Sensor network script:
Node: drought_index | code: hub | fields: depth, qc, unit, lat
Sensor: rainfall | fields: reading, ts, depth, type
Task: Fetch reading from drought_index that have at least one corresponding rainfall measurement for the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001983 | train |
v2 | Sensor network script:
Node: frost | code: ref | fields: reading, level, type, ts
Sensor: lightning | fields: unit, qc, level, lon
Task: Get reading from frost where a corresponding entry exists in lightning with the same qc.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001984 | train |
v3 | Sensor network script:
Node: evaporation | code: clr | fields: reading, ts, level, qc
Sensor: humidity | fields: qc, level, depth, ts
Task: Fetch lon from evaporation where value is greater than the maximum of reading in humidity for matching qc.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("humidity", code="hgr"),
match="qc"),
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001985 | train |
v1 | Sensor network script:
Node: drought_index | code: hub | fields: lon, depth, qc, ts
Sensor: rainfall | fields: reading, lon, ts, type
Task: Get value from drought_index where unit appears in rainfall readings with matching depth.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=set_member(
field="unit",
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "value",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001986 | train |
v3 | Sensor network script:
Node: cloud_cover | code: prt | fields: ts, qc, level, lat
Sensor: sunlight | fields: ts, lon, depth, level
Task: Fetch reading from cloud_cover where value is greater than the maximum of reading in sunlight for matching unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("sunlight", code="brt"),
match="unit"),
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001987 | train |
v3 | Sensor network script:
Node: dew_point | code: clr | fields: unit, value, lat, type
Sensor: temperature | fields: qc, ts, lat, level
Task: Retrieve lat from dew_point with reading above the COUNT(value) of temperature readings sharing the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001988 | train |
v2 | Sensor network script:
Node: lightning | code: prt | fields: qc, lat, depth, type
Sensor: turbidity | fields: lat, reading, depth, lon
Task: Get lat from lightning where a corresponding entry exists in turbidity with the same unit.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001989 | train |
v1 | Sensor network script:
Node: rainfall | code: ref | fields: qc, ts, type, unit
Sensor: visibility | fields: ts, depth, lon, level
Task: Get depth from rainfall where ts appears in visibility readings with matching depth.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=set_member(
field="ts",
source=Probe("visibility", code="clr"),
match="depth",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001990 | train |
v1 | Sensor network script:
Node: dew_point | code: gst | fields: level, qc, depth, lon
Sensor: turbidity | fields: depth, reading, lat, lon
Task: Fetch lon from dew_point where depth exists in turbidity sensor data for the same unit.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=set_member(
field="depth",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001991 | train |
v1 | Sensor network script:
Node: pressure | code: hub | fields: lat, level, value, lon
Sensor: rainfall | fields: lon, reading, depth, lat
Task: Retrieve lat from pressure whose qc is found in rainfall records where unit matches the outer node.
Script: | readings = fetch(
node=Node("pressure", code="hub"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001992 | train |
v1 | Sensor network script:
Node: visibility | code: stn | fields: ts, lon, depth, qc
Sensor: wind_speed | fields: level, lon, ts, qc
Task: Fetch depth from visibility where unit exists in wind_speed sensor data for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=set_member(
field="unit",
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001993 | train |
v2 | Sensor network script:
Node: uv_index | code: ref | fields: unit, depth, value, type
Sensor: lightning | fields: value, unit, type, qc
Task: Get level from uv_index where a corresponding entry exists in lightning with the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="ts",
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001994 | train |
v1 | Sensor network script:
Node: air_quality | code: prt | fields: ts, reading, unit, level
Sensor: humidity | fields: ts, reading, qc, lon
Task: Retrieve level from air_quality whose depth is found in humidity records where ts matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=set_member(
field="depth",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001995 | train |
v2 | Sensor network script:
Node: visibility | code: prt | fields: depth, lat, lon, unit
Sensor: rainfall | fields: value, lon, type, reading
Task: Get lat from visibility where a corresponding entry exists in rainfall with the same qc.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001996 | train |
v3 | Sensor network script:
Node: soil_moisture | code: clr | fields: level, qc, lat, type
Sensor: humidity | fields: lon, type, depth, ts
Task: Fetch reading from soil_moisture where reading is greater than the minimum of reading in humidity for matching unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("humidity", code="hgr"),
match="unit"),
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001997 | train |
v3 | Sensor network script:
Node: temperature | code: ref | fields: reading, unit, level, value
Sensor: visibility | fields: lat, qc, unit, depth
Task: Retrieve lon from temperature with value above the AVG(reading) of visibility readings sharing the same depth.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("visibility", code="clr"),
match="depth"),
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_001998 | train |
v3 | Sensor network script:
Node: air_quality | code: stn | fields: reading, ts, value, depth
Sensor: evaporation | fields: ts, lon, unit, level
Task: Retrieve lat from air_quality with value above the COUNT(value) of evaporation readings sharing the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("evaporation", code="evp"),
match="unit"),
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_001999 | train |
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