variant stringclasses 3
values | prompt stringlengths 216 286 | query stringlengths 168 299 | metadata unknown | id stringlengths 28 28 | split stringclasses 1
value |
|---|---|---|---|---|---|
v1 | Sensor network script:
Node: sunlight | code: stn | fields: unit, lat, level, depth
Sensor: wind_speed | fields: reading, unit, lon, lat
Task: Fetch lon from sunlight where qc exists in wind_speed sensor data for the same type.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="type",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071300 | train |
v2 | Sensor network script:
Node: humidity | code: gst | fields: lon, value, ts, type
Sensor: pressure | fields: unit, value, reading, lon
Task: Retrieve depth from humidity that have at least one matching reading in pressure sharing the same unit.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="unit",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071301 | train |
v1 | Sensor network script:
Node: sunlight | code: ref | fields: lat, unit, value, depth
Sensor: dew_point | fields: depth, value, reading, qc
Task: Retrieve depth from sunlight whose qc is found in dew_point records where unit matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=set_member(
field="qc",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071302 | train |
v2 | Sensor network script:
Node: temperature | code: mst | fields: unit, value, qc, depth
Sensor: snow_depth | fields: unit, level, depth, reading
Task: Retrieve lat from temperature that have at least one matching reading in snow_depth sharing the same depth.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071303 | train |
v2 | Sensor network script:
Node: uv_index | code: hub | fields: lat, reading, depth, lon
Sensor: cloud_cover | fields: type, lon, unit, qc
Task: Get reading from uv_index where a corresponding entry exists in cloud_cover with the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071304 | train |
v2 | Sensor network script:
Node: rainfall | code: clr | fields: lon, value, lat, unit
Sensor: evaporation | fields: reading, level, depth, unit
Task: Retrieve reading from rainfall that have at least one matching reading in evaporation sharing the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="unit",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071305 | train |
v1 | Sensor network script:
Node: turbidity | code: hub | fields: type, value, lon, reading
Sensor: sunlight | fields: unit, level, depth, lon
Task: Fetch lat from turbidity where depth exists in sunlight sensor data for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="hub"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="depth",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071306 | train |
v3 | Sensor network script:
Node: sunlight | code: gst | fields: reading, lat, value, depth
Sensor: soil_moisture | fields: ts, qc, type, reading
Task: Fetch reading from sunlight where reading is greater than the maximum of reading in soil_moisture for matching depth.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("soil_moisture", code="grvl"),
match="depth"),
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "soil_moisture",
"outer_alias": "gst",
"inner_alias": "grvl",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071307 | train |
v1 | Sensor network script:
Node: lightning | code: prt | fields: depth, value, lat, type
Sensor: turbidity | fields: reading, type, unit, qc
Task: Retrieve value from lightning whose type is found in turbidity records where unit matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "value",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071308 | train |
v1 | Sensor network script:
Node: frost | code: mst | fields: lon, type, lat, unit
Sensor: dew_point | fields: qc, ts, lon, unit
Task: Fetch depth from frost where type exists in dew_point sensor data for the same qc.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=set_member(
field="type",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071309 | train |
v1 | Sensor network script:
Node: soil_moisture | code: ref | fields: ts, level, lat, depth
Sensor: frost | fields: reading, lat, ts, value
Task: Get value from soil_moisture where ts appears in frost readings with matching type.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=set_member(
field="ts",
source=Probe("frost", code="frs"),
match="type",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "value",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071310 | train |
v1 | Sensor network script:
Node: air_quality | code: ref | fields: ts, qc, value, type
Sensor: turbidity | fields: unit, lon, depth, type
Task: Retrieve value from air_quality whose type is found in turbidity records where unit matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "value",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071311 | train |
v1 | Sensor network script:
Node: turbidity | code: gst | fields: depth, lon, value, reading
Sensor: frost | fields: reading, depth, level, ts
Task: Retrieve lon from turbidity whose qc is found in frost records where qc matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=set_member(
field="qc",
source=Probe("frost", code="frs"),
match="qc",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "frost",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071312 | train |
v2 | Sensor network script:
Node: sunlight | code: mst | fields: qc, reading, lat, depth
Sensor: temperature | fields: lat, value, level, reading
Task: Get lon from sunlight where a corresponding entry exists in temperature with the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071313 | train |
v3 | Sensor network script:
Node: humidity | code: clr | fields: type, lon, reading, depth
Sensor: lightning | fields: ts, value, lon, qc
Task: Get level from humidity where value exceeds the total value from lightning for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("lightning", code="tnd"),
match="qc"),
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "lightning",
"outer_alias": "clr",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071314 | train |
v1 | Sensor network script:
Node: drought_index | code: prt | fields: unit, lon, type, depth
Sensor: snow_depth | fields: lon, qc, type, lat
Task: Fetch level from drought_index where ts exists in snow_depth sensor data for the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=set_member(
field="ts",
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071315 | train |
v2 | Sensor network script:
Node: air_quality | code: mst | fields: reading, unit, value, type
Sensor: rainfall | fields: type, level, qc, value
Task: Retrieve value from air_quality that have at least one matching reading in rainfall sharing the same qc.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "rainfall",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071316 | train |
v2 | Sensor network script:
Node: lightning | code: gst | fields: lon, unit, ts, type
Sensor: pressure | fields: depth, lon, reading, type
Task: Retrieve lat from lightning that have at least one matching reading in pressure sharing the same depth.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="depth",
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071317 | train |
v1 | Sensor network script:
Node: wind_speed | code: gst | fields: level, reading, depth, qc
Sensor: evaporation | fields: unit, lat, lon, value
Task: Get lat from wind_speed where type appears in evaporation readings with matching qc.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=set_member(
field="type",
source=Probe("evaporation", code="evp"),
match="qc",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071318 | train |
v1 | Sensor network script:
Node: snow_depth | code: prt | fields: type, qc, unit, depth
Sensor: humidity | fields: depth, lat, type, value
Task: Get lon from snow_depth where ts appears in humidity readings with matching qc.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=set_member(
field="ts",
source=Probe("humidity", code="hgr"),
match="qc",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071319 | train |
v3 | Sensor network script:
Node: turbidity | code: ref | fields: lon, reading, unit, type
Sensor: air_quality | fields: lon, type, ts, reading
Task: Get depth from turbidity where depth exceeds the count of value from air_quality for the same type.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "value",
source=Probe("air_quality", code="prt"),
match="type"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071320 | train |
v2 | Sensor network script:
Node: sunlight | code: clr | fields: reading, qc, ts, lat
Sensor: cloud_cover | fields: depth, qc, reading, type
Task: Fetch level from sunlight that have at least one corresponding cloud_cover measurement for the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "cloud_cover",
"outer_alias": "clr",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071321 | train |
v2 | Sensor network script:
Node: drought_index | code: stn | fields: level, reading, type, value
Sensor: cloud_cover | fields: reading, level, value, lat
Task: Retrieve lon from drought_index that have at least one matching reading in cloud_cover sharing the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071322 | train |
v3 | Sensor network script:
Node: turbidity | code: mst | fields: level, value, qc, reading
Sensor: lightning | fields: qc, depth, reading, value
Task: Fetch depth from turbidity where value is greater than the maximum of depth in lightning for matching qc.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("lightning", code="tnd"),
match="qc"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071323 | train |
v2 | Sensor network script:
Node: air_quality | code: hub | fields: type, level, depth, qc
Sensor: lightning | fields: lat, qc, value, reading
Task: Retrieve reading from air_quality that have at least one matching reading in lightning sharing the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="ts",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071324 | train |
v2 | Sensor network script:
Node: frost | code: clr | fields: level, type, value, unit
Sensor: turbidity | fields: depth, qc, lon, level
Task: Retrieve lon from frost that have at least one matching reading in turbidity sharing the same ts.
Script: | readings = fetch(
node=Node("frost", code="clr"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071325 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: ts, unit, level, type
Sensor: drought_index | fields: lon, reading, type, value
Task: Get level from snow_depth where qc appears in drought_index readings with matching type.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="drt"),
match="type",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "drought_index",
"outer_alias": "hub",
"inner_alias": "drt",
"proj_col": "level",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071326 | train |
v1 | Sensor network script:
Node: frost | code: ref | fields: unit, depth, type, reading
Sensor: evaporation | fields: value, unit, type, lon
Task: Fetch lon from frost where unit exists in evaporation sensor data for the same type.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=set_member(
field="unit",
source=Probe("evaporation", code="evp"),
match="type",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071327 | train |
v3 | Sensor network script:
Node: lightning | code: hub | fields: lat, value, type, depth
Sensor: air_quality | fields: unit, type, lon, depth
Task: Retrieve level from lightning with reading above the AVG(depth) of air_quality readings sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("air_quality", code="prt"),
match="qc"),
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071328 | train |
v1 | Sensor network script:
Node: sunlight | code: clr | fields: unit, value, reading, type
Sensor: cloud_cover | fields: unit, reading, lat, value
Task: Get reading from sunlight where type appears in cloud_cover readings with matching qc.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=set_member(
field="type",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "cloud_cover",
"outer_alias": "clr",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071329 | train |
v3 | Sensor network script:
Node: humidity | code: gst | fields: value, lat, qc, depth
Sensor: temperature | fields: depth, level, unit, lat
Task: Retrieve level from humidity with value above the AVG(value) of temperature readings sharing the same ts.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("temperature", code="thr"),
match="ts"),
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071330 | train |
v2 | Sensor network script:
Node: rainfall | code: gst | fields: depth, lat, ts, value
Sensor: evaporation | fields: lon, reading, depth, ts
Task: Fetch lon from rainfall that have at least one corresponding evaporation measurement for the same type.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="type",
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071331 | train |
v2 | Sensor network script:
Node: dew_point | code: gst | fields: lat, unit, ts, depth
Sensor: evaporation | fields: lon, ts, type, value
Task: Fetch level from dew_point that have at least one corresponding evaporation measurement for the same ts.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="ts",
),
output="level",
) | {
"outer_table": "dew_point",
"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_071332 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: depth, level, value, qc
Sensor: cloud_cover | fields: qc, lat, reading, unit
Task: Fetch reading from evaporation where unit exists in cloud_cover sensor data for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071333 | train |
v1 | Sensor network script:
Node: lightning | code: thr | fields: depth, type, reading, ts
Sensor: snow_depth | fields: unit, lat, lon, type
Task: Retrieve level from lightning whose unit is found in snow_depth records where depth matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=set_member(
field="unit",
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "thr",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071334 | train |
v3 | Sensor network script:
Node: frost | code: hub | fields: lat, qc, type, value
Sensor: visibility | fields: lon, unit, qc, lat
Task: Get level from frost where depth exceeds the total depth from visibility for the same qc.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("visibility", code="clr"),
match="qc"),
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071335 | train |
v1 | Sensor network script:
Node: humidity | code: gst | fields: qc, lat, level, reading
Sensor: snow_depth | fields: unit, qc, depth, level
Task: Get depth from humidity where ts appears in snow_depth readings with matching unit.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=set_member(
field="ts",
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "snow_depth",
"outer_alias": "gst",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071336 | train |
v1 | Sensor network script:
Node: evaporation | code: prt | fields: level, ts, reading, qc
Sensor: humidity | fields: reading, level, lat, type
Task: Fetch lon from evaporation where ts exists in humidity sensor data for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=set_member(
field="ts",
source=Probe("humidity", code="hgr"),
match="qc",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071337 | train |
v2 | Sensor network script:
Node: cloud_cover | code: stn | fields: reading, ts, value, qc
Sensor: uv_index | fields: qc, value, depth, unit
Task: Fetch lon from cloud_cover that have at least one corresponding uv_index measurement for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="ts",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071338 | train |
v1 | Sensor network script:
Node: drought_index | code: stn | fields: lat, reading, level, ts
Sensor: visibility | fields: reading, lat, level, value
Task: Fetch value from drought_index where type exists in visibility sensor data for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=set_member(
field="type",
source=Probe("visibility", code="clr"),
match="ts",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "value",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071339 | train |
v3 | Sensor network script:
Node: drought_index | code: mst | fields: qc, ts, reading, value
Sensor: temperature | fields: depth, level, ts, unit
Task: Fetch lon from drought_index where reading is greater than the average of value in temperature for matching depth.
Script: | readings = fetch(
node=Node("drought_index", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071340 | train |
v1 | Sensor network script:
Node: rainfall | code: gst | fields: qc, lon, ts, reading
Sensor: sunlight | fields: lat, depth, level, ts
Task: Retrieve lat from rainfall whose ts is found in sunlight records where qc matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=set_member(
field="ts",
source=Probe("sunlight", code="brt"),
match="qc",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071341 | train |
v1 | Sensor network script:
Node: cloud_cover | code: stn | fields: lon, level, reading, unit
Sensor: snow_depth | fields: level, depth, lat, ts
Task: Retrieve level from cloud_cover whose ts is found in snow_depth records where unit matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=set_member(
field="ts",
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071342 | train |
v1 | Sensor network script:
Node: temperature | code: stn | fields: ts, depth, unit, value
Sensor: soil_moisture | fields: qc, lat, type, unit
Task: Retrieve lat from temperature whose qc is found in soil_moisture records where unit matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071343 | train |
v1 | Sensor network script:
Node: soil_moisture | code: stn | fields: level, ts, depth, lon
Sensor: sunlight | fields: reading, type, value, qc
Task: Fetch depth from soil_moisture where type exists in sunlight sensor data for the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=set_member(
field="type",
source=Probe("sunlight", code="brt"),
match="depth",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "depth",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071344 | train |
v3 | Sensor network script:
Node: drought_index | code: mst | fields: type, reading, value, ts
Sensor: humidity | fields: value, ts, lon, unit
Task: Get reading from drought_index where value exceeds the total reading from humidity for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("humidity", code="hgr"),
match="qc"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071345 | train |
v2 | Sensor network script:
Node: frost | code: gst | fields: reading, depth, lat, lon
Sensor: uv_index | fields: lon, lat, ts, value
Task: Get depth from frost where a corresponding entry exists in uv_index with the same ts.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="ts",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071346 | train |
v2 | Sensor network script:
Node: snow_depth | code: ref | fields: lat, type, reading, lon
Sensor: air_quality | fields: unit, depth, ts, lat
Task: Fetch level from snow_depth that have at least one corresponding air_quality measurement for the same depth.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="depth",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071347 | train |
v2 | Sensor network script:
Node: soil_moisture | code: prt | fields: lon, qc, level, ts
Sensor: sunlight | fields: type, depth, unit, lat
Task: Fetch depth from soil_moisture that have at least one corresponding sunlight measurement for the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="unit",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071348 | train |
v1 | Sensor network script:
Node: soil_moisture | code: clr | fields: qc, lon, ts, depth
Sensor: uv_index | fields: reading, unit, type, value
Task: Retrieve value from soil_moisture whose type is found in uv_index records where ts matches the outer node.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=set_member(
field="type",
source=Probe("uv_index", code="flx"),
match="ts",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071349 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: lon, level, unit, type
Sensor: cloud_cover | fields: depth, value, qc, type
Task: Get lon from dew_point where a corresponding entry exists in cloud_cover with the same type.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071350 | train |
v3 | Sensor network script:
Node: soil_moisture | code: mst | fields: value, level, ts, qc
Sensor: humidity | fields: depth, lon, lat, unit
Task: Retrieve value from soil_moisture with value above the SUM(reading) of humidity readings sharing the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071351 | train |
v1 | Sensor network script:
Node: cloud_cover | code: ref | fields: ts, type, lon, level
Sensor: pressure | fields: level, lon, type, lat
Task: Retrieve lon from cloud_cover whose depth is found in pressure records where ts matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=set_member(
field="depth",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071352 | train |
v3 | Sensor network script:
Node: soil_moisture | code: prt | fields: ts, depth, reading, level
Sensor: cloud_cover | fields: depth, type, lat, reading
Task: Fetch lon from soil_moisture where depth is greater than the average of value in cloud_cover for matching unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("cloud_cover", code="nbl"),
match="unit"),
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071353 | train |
v1 | Sensor network script:
Node: cloud_cover | code: clr | fields: lat, unit, qc, reading
Sensor: frost | fields: value, unit, ts, qc
Task: Fetch depth from cloud_cover where ts exists in frost sensor data for the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=set_member(
field="ts",
source=Probe("frost", code="frs"),
match="type",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071354 | train |
v3 | Sensor network script:
Node: visibility | code: stn | fields: unit, type, level, lat
Sensor: humidity | fields: type, lat, qc, level
Task: Retrieve level from visibility with depth above the MAX(value) of humidity readings sharing the same ts.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("humidity", code="hgr"),
match="ts"),
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071355 | train |
v1 | Sensor network script:
Node: frost | code: mst | fields: qc, lat, depth, value
Sensor: lightning | fields: level, ts, qc, type
Task: Retrieve lon from frost whose qc is found in lightning records where type matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="type",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071356 | train |
v2 | Sensor network script:
Node: uv_index | code: hub | fields: value, lat, ts, level
Sensor: rainfall | fields: depth, lon, level, unit
Task: Get level from uv_index where a corresponding entry exists in rainfall with the same type.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071357 | train |
v3 | Sensor network script:
Node: frost | code: thr | fields: reading, level, ts, qc
Sensor: evaporation | fields: lat, value, depth, level
Task: Fetch reading from frost where depth is greater than the count of of depth in evaporation for matching depth.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("evaporation", code="evp"),
match="depth"),
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "evaporation",
"outer_alias": "thr",
"inner_alias": "evp",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071358 | train |
v2 | Sensor network script:
Node: lightning | code: prt | fields: qc, level, type, unit
Sensor: drought_index | fields: type, level, lat, qc
Task: Get level from lightning where a corresponding entry exists in drought_index with the same ts.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="ts",
),
output="level",
) | {
"outer_table": "lightning",
"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_071359 | train |
v1 | Sensor network script:
Node: dew_point | code: mst | fields: value, level, qc, ts
Sensor: drought_index | fields: lon, type, unit, level
Task: Retrieve level from dew_point whose unit is found in drought_index records where qc matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=set_member(
field="unit",
source=Probe("drought_index", code="drt"),
match="qc",
),
output="level",
) | {
"outer_table": "dew_point",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "drt",
"proj_col": "level",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071360 | train |
v2 | Sensor network script:
Node: lightning | code: gst | fields: value, lon, depth, type
Sensor: frost | fields: ts, qc, unit, reading
Task: Retrieve value from lightning that have at least one matching reading in frost sharing the same unit.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=has_match(
source=Probe("frost", code="frs"),
match="unit",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "frost",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071361 | train |
v2 | Sensor network script:
Node: air_quality | code: mst | fields: type, level, qc, reading
Sensor: uv_index | fields: lon, value, unit, qc
Task: Get reading from air_quality where a corresponding entry exists in uv_index with the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="unit",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071362 | train |
v3 | Sensor network script:
Node: air_quality | code: gst | fields: lat, qc, unit, value
Sensor: cloud_cover | fields: depth, lon, qc, reading
Task: Fetch level from air_quality where value is greater than the count of of value in cloud_cover for matching type.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("cloud_cover", code="nbl"),
match="type"),
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071363 | train |
v1 | Sensor network script:
Node: lightning | code: hub | fields: lat, unit, depth, ts
Sensor: evaporation | fields: type, level, value, reading
Task: Get lon from lightning where qc appears in evaporation readings with matching depth.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071364 | train |
v3 | Sensor network script:
Node: humidity | code: gst | fields: type, depth, unit, reading
Sensor: cloud_cover | fields: qc, depth, value, unit
Task: Get level from humidity where value exceeds the total value from cloud_cover for the same unit.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("cloud_cover", code="nbl"),
match="unit"),
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071365 | train |
v3 | Sensor network script:
Node: humidity | code: stn | fields: reading, qc, ts, level
Sensor: snow_depth | fields: depth, lat, reading, qc
Task: Fetch level from humidity where value is greater than the maximum of reading in snow_depth for matching type.
Script: | readings = fetch(
node=Node("humidity", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("snow_depth", code="snw"),
match="type"),
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071366 | train |
v2 | Sensor network script:
Node: visibility | code: thr | fields: lon, type, qc, lat
Sensor: air_quality | fields: level, qc, type, unit
Task: Get lat from visibility where a corresponding entry exists in air_quality with the same type.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071367 | train |
v2 | Sensor network script:
Node: cloud_cover | code: thr | fields: value, level, qc, lon
Sensor: sunlight | fields: type, lat, ts, level
Task: Retrieve lon from cloud_cover that have at least one matching reading in sunlight sharing the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071368 | train |
v2 | Sensor network script:
Node: soil_moisture | code: prt | fields: level, value, ts, qc
Sensor: turbidity | fields: lon, value, lat, level
Task: Retrieve lon from soil_moisture that have at least one matching reading in turbidity sharing the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071369 | train |
v1 | Sensor network script:
Node: soil_moisture | code: hub | fields: ts, lon, lat, unit
Sensor: sunlight | fields: reading, value, level, qc
Task: Retrieve lon from soil_moisture whose depth is found in sunlight records where depth matches the outer node.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="depth",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071370 | train |
v1 | Sensor network script:
Node: dew_point | code: prt | fields: depth, lat, reading, unit
Sensor: pressure | fields: unit, lon, type, level
Task: Retrieve lon from dew_point whose unit is found in pressure records where qc matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=set_member(
field="unit",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071371 | train |
v3 | Sensor network script:
Node: humidity | code: prt | fields: lon, qc, type, level
Sensor: rainfall | fields: lon, reading, qc, level
Task: Retrieve value from humidity with value above the AVG(reading) of rainfall readings sharing the same ts.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("rainfall", code="rnfl"),
match="ts"),
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071372 | train |
v2 | Sensor network script:
Node: turbidity | code: thr | fields: reading, depth, type, level
Sensor: humidity | fields: reading, depth, type, qc
Task: Retrieve level from turbidity that have at least one matching reading in humidity sharing the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="level",
) | {
"outer_table": "turbidity",
"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_071373 | train |
v2 | Sensor network script:
Node: air_quality | code: prt | fields: unit, qc, type, depth
Sensor: sunlight | fields: level, lat, type, unit
Task: Get lon from air_quality where a corresponding entry exists in sunlight with the same type.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071374 | train |
v1 | Sensor network script:
Node: frost | code: clr | fields: unit, value, reading, level
Sensor: humidity | fields: level, lon, depth, value
Task: Retrieve reading from frost whose ts is found in humidity records where qc matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="clr"),
filter=set_member(
field="ts",
source=Probe("humidity", code="hgr"),
match="qc",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071375 | train |
v1 | Sensor network script:
Node: frost | code: hub | fields: ts, lat, depth, qc
Sensor: soil_moisture | fields: type, lon, reading, qc
Task: Fetch depth from frost where ts exists in soil_moisture sensor data for the same qc.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=set_member(
field="ts",
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071376 | train |
v2 | Sensor network script:
Node: visibility | code: ref | fields: level, reading, qc, ts
Sensor: dew_point | fields: reading, depth, type, value
Task: Retrieve depth from visibility that have at least one matching reading in dew_point sharing the same qc.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071377 | train |
v1 | Sensor network script:
Node: snow_depth | code: ref | fields: unit, reading, lat, depth
Sensor: drought_index | fields: qc, ts, depth, level
Task: Get lon from snow_depth where type appears in drought_index readings with matching depth.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=set_member(
field="type",
source=Probe("drought_index", code="drt"),
match="depth",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071378 | train |
v3 | Sensor network script:
Node: sunlight | code: gst | fields: reading, value, depth, type
Sensor: visibility | fields: ts, reading, value, qc
Task: Get lat from sunlight where value exceeds the average reading from visibility for the same depth.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("visibility", code="clr"),
match="depth"),
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071379 | train |
v3 | Sensor network script:
Node: uv_index | code: ref | fields: reading, depth, qc, lat
Sensor: sunlight | fields: reading, qc, lat, level
Task: Fetch lon from uv_index where depth is greater than the total of value in sunlight for matching unit.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("sunlight", code="brt"),
match="unit"),
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071380 | train |
v3 | Sensor network script:
Node: temperature | code: hub | fields: value, level, lat, ts
Sensor: rainfall | fields: depth, type, reading, lat
Task: Fetch lat from temperature where reading is greater than the total of value in rainfall for matching unit.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "value",
source=Probe("rainfall", code="rnfl"),
match="unit"),
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071381 | train |
v2 | Sensor network script:
Node: lightning | code: hub | fields: lat, lon, level, ts
Sensor: turbidity | fields: lat, lon, qc, value
Task: Retrieve lon from lightning that have at least one matching reading in turbidity sharing the same depth.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071382 | train |
v2 | Sensor network script:
Node: pressure | code: ref | fields: lat, unit, qc, type
Sensor: evaporation | fields: type, ts, depth, lon
Task: Get reading from pressure where a corresponding entry exists in evaporation with the same ts.
Script: | readings = fetch(
node=Node("pressure", code="ref"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="ts",
),
output="reading",
) | {
"outer_table": "pressure",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071383 | train |
v2 | Sensor network script:
Node: lightning | code: mst | fields: level, type, reading, lat
Sensor: wind_speed | fields: level, type, lat, qc
Task: Fetch reading from lightning that have at least one corresponding wind_speed measurement for the same ts.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "wind_speed",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071384 | train |
v3 | Sensor network script:
Node: evaporation | code: thr | fields: reading, lon, lat, unit
Sensor: pressure | fields: unit, reading, value, level
Task: Get reading from evaporation where value exceeds the average depth from pressure for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("pressure", code="mbl"),
match="depth"),
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071385 | train |
v3 | Sensor network script:
Node: soil_moisture | code: hub | fields: unit, ts, lon, level
Sensor: visibility | fields: lon, depth, level, ts
Task: Get value from soil_moisture where depth exceeds the maximum depth from visibility for the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("visibility", code="clr"),
match="type"),
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071386 | train |
v2 | Sensor network script:
Node: uv_index | code: prt | fields: qc, lat, lon, value
Sensor: humidity | fields: qc, lon, ts, unit
Task: Fetch lon from uv_index that have at least one corresponding humidity measurement for the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="ts",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071387 | train |
v2 | Sensor network script:
Node: temperature | code: ref | fields: unit, ts, depth, qc
Sensor: pressure | fields: level, unit, lat, value
Task: Retrieve level from temperature that have at least one matching reading in pressure sharing the same depth.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="depth",
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071388 | train |
v3 | Sensor network script:
Node: sunlight | code: ref | fields: unit, level, ts, qc
Sensor: soil_moisture | fields: lon, lat, type, reading
Task: Get lon from sunlight where reading exceeds the average value from soil_moisture for the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("soil_moisture", code="grvl"),
match="ts"),
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071389 | train |
v1 | Sensor network script:
Node: temperature | code: hub | fields: unit, ts, level, lat
Sensor: air_quality | fields: level, type, lat, unit
Task: Get depth from temperature where type appears in air_quality readings with matching depth.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=set_member(
field="type",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071390 | train |
v3 | Sensor network script:
Node: dew_point | code: hub | fields: qc, reading, type, ts
Sensor: frost | fields: reading, depth, lon, level
Task: Fetch level from dew_point where value is greater than the minimum of depth in frost for matching depth.
Script: | readings = fetch(
node=Node("dew_point", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("frost", code="frs"),
match="depth"),
),
output="level",
) | {
"outer_table": "dew_point",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071391 | train |
v2 | Sensor network script:
Node: air_quality | code: stn | fields: lon, reading, unit, value
Sensor: evaporation | fields: value, lon, ts, unit
Task: Retrieve lat from air_quality that have at least one matching reading in evaporation sharing the same type.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="type",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071392 | train |
v1 | Sensor network script:
Node: frost | code: ref | fields: depth, value, qc, reading
Sensor: soil_moisture | fields: qc, value, lat, ts
Task: Get level from frost where ts appears in soil_moisture readings with matching ts.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=set_member(
field="ts",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "level",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071393 | train |
v1 | Sensor network script:
Node: evaporation | code: prt | fields: value, depth, level, lat
Sensor: temperature | fields: ts, value, level, unit
Task: Retrieve reading from evaporation whose qc is found in temperature records where qc matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=set_member(
field="qc",
source=Probe("temperature", code="thr"),
match="qc",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071394 | train |
v3 | Sensor network script:
Node: turbidity | code: thr | fields: type, lat, qc, ts
Sensor: rainfall | fields: value, type, level, ts
Task: Fetch depth from turbidity where reading is greater than the total of value in rainfall for matching ts.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "value",
source=Probe("rainfall", code="rnfl"),
match="ts"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071395 | train |
v2 | Sensor network script:
Node: lightning | code: ref | fields: level, value, reading, lat
Sensor: temperature | fields: level, lat, value, type
Task: Fetch depth from lightning that have at least one corresponding temperature measurement for the same ts.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071396 | train |
v3 | Sensor network script:
Node: dew_point | code: prt | fields: type, qc, reading, level
Sensor: pressure | fields: reading, level, lat, lon
Task: Retrieve value from dew_point with reading above the SUM(depth) of pressure readings sharing the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("pressure", code="mbl"),
match="depth"),
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071397 | train |
v1 | Sensor network script:
Node: sunlight | code: ref | fields: reading, unit, type, lat
Sensor: humidity | fields: lat, reading, level, type
Task: Get depth from sunlight where type appears in humidity readings with matching type.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=set_member(
field="type",
source=Probe("humidity", code="hgr"),
match="type",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_071398 | train |
v2 | Sensor network script:
Node: frost | code: mst | fields: type, depth, reading, lat
Sensor: air_quality | fields: type, ts, lon, level
Task: Fetch lon from frost that have at least one corresponding air_quality measurement for the same unit.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_071399 | train |
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