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: dew_point | code: hub | fields: depth, lat, unit, ts
Sensor: humidity | fields: depth, level, lat, value
Task: Get reading from dew_point where a corresponding entry exists in humidity with the same unit.
Script: | readings = fetch(
node=Node("dew_point", code="hub"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="unit",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "humidity",
"outer_alias": "hub",
"inner_alias": "hgr",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076500 | train |
v2 | Sensor network script:
Node: visibility | code: stn | fields: qc, level, unit, value
Sensor: uv_index | fields: lat, unit, type, qc
Task: Fetch lat from visibility that have at least one corresponding uv_index measurement for the same type.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076501 | train |
v3 | Sensor network script:
Node: dew_point | code: ref | fields: ts, value, reading, level
Sensor: wind_speed | fields: value, level, lon, unit
Task: Retrieve lon from dew_point with reading above the MAX(value) of wind_speed readings sharing the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("wind_speed", code="gst"),
match="depth"),
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076502 | train |
v3 | Sensor network script:
Node: snow_depth | code: mst | fields: ts, lat, reading, unit
Sensor: lightning | fields: value, qc, level, unit
Task: Fetch lat from snow_depth where depth is greater than the maximum of value in lightning for matching type.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076503 | train |
v1 | Sensor network script:
Node: turbidity | code: prt | fields: type, lat, depth, qc
Sensor: frost | fields: unit, lat, value, qc
Task: Get lat from turbidity where unit appears in frost readings with matching depth.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=set_member(
field="unit",
source=Probe("frost", code="frs"),
match="depth",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076504 | train |
v3 | Sensor network script:
Node: evaporation | code: mst | fields: type, ts, reading, lon
Sensor: uv_index | fields: unit, qc, level, type
Task: Retrieve lon from evaporation with reading above the MIN(depth) of uv_index readings sharing the same type.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "depth",
source=Probe("uv_index", code="flx"),
match="type"),
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076505 | train |
v2 | Sensor network script:
Node: humidity | code: ref | fields: lat, value, type, lon
Sensor: sunlight | fields: type, unit, qc, depth
Task: Fetch value from humidity that have at least one corresponding sunlight measurement for the same type.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076506 | train |
v1 | Sensor network script:
Node: soil_moisture | code: stn | fields: value, depth, lon, level
Sensor: snow_depth | fields: ts, lat, qc, depth
Task: Retrieve lon from soil_moisture whose type is found in snow_depth records where type matches the outer node.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="type",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "lon",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076507 | train |
v3 | Sensor network script:
Node: pressure | code: stn | fields: value, unit, lon, qc
Sensor: humidity | fields: value, lat, depth, lon
Task: Retrieve reading from pressure with reading above the SUM(reading) of humidity readings sharing the same ts.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "reading",
source=Probe("humidity", code="hgr"),
match="ts"),
),
output="reading",
) | {
"outer_table": "pressure",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076508 | train |
v3 | Sensor network script:
Node: evaporation | code: prt | fields: level, ts, lat, value
Sensor: snow_depth | fields: qc, type, lon, unit
Task: Retrieve value from evaporation with depth above the MAX(depth) of snow_depth readings sharing the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("snow_depth", code="snw"),
match="qc"),
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076509 | train |
v1 | Sensor network script:
Node: snow_depth | code: ref | fields: unit, ts, qc, value
Sensor: drought_index | fields: level, value, type, unit
Task: Retrieve level from snow_depth whose depth is found in drought_index records where depth matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=set_member(
field="depth",
source=Probe("drought_index", code="drt"),
match="depth",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "level",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076510 | train |
v1 | Sensor network script:
Node: visibility | code: gst | fields: value, lat, depth, unit
Sensor: humidity | fields: lat, value, depth, type
Task: Retrieve depth from visibility whose unit is found in humidity records where depth matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=set_member(
field="unit",
source=Probe("humidity", code="hgr"),
match="depth",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076511 | train |
v2 | Sensor network script:
Node: humidity | code: gst | fields: reading, lat, level, value
Sensor: uv_index | fields: lat, unit, level, qc
Task: Get lon from humidity where a corresponding entry exists in uv_index with the same type.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076512 | train |
v2 | Sensor network script:
Node: visibility | code: gst | fields: lat, value, unit, type
Sensor: temperature | fields: lat, level, reading, unit
Task: Get reading from visibility where a corresponding entry exists in temperature with the same depth.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="depth",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076513 | train |
v1 | Sensor network script:
Node: pressure | code: mst | fields: qc, level, type, ts
Sensor: humidity | fields: qc, ts, depth, unit
Task: Get level from pressure where unit appears in humidity readings with matching unit.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=set_member(
field="unit",
source=Probe("humidity", code="hgr"),
match="unit",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076514 | train |
v2 | Sensor network script:
Node: dew_point | code: ref | fields: ts, lon, lat, qc
Sensor: lightning | fields: unit, type, qc, reading
Task: Fetch value from dew_point that have at least one corresponding lightning measurement for the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="depth",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076515 | train |
v3 | Sensor network script:
Node: visibility | code: thr | fields: lon, lat, qc, unit
Sensor: frost | fields: value, type, lat, depth
Task: Retrieve reading from visibility with depth above the SUM(value) of frost readings sharing the same unit.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("frost", code="frs"),
match="unit"),
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "frost",
"outer_alias": "thr",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076516 | train |
v2 | Sensor network script:
Node: visibility | code: gst | fields: depth, unit, qc, lat
Sensor: uv_index | fields: lat, unit, reading, lon
Task: Fetch lat from visibility that have at least one corresponding uv_index measurement for the same depth.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="depth",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076517 | train |
v1 | Sensor network script:
Node: drought_index | code: ref | fields: level, lat, unit, ts
Sensor: sunlight | fields: lat, qc, unit, lon
Task: Fetch lat from drought_index where ts exists in sunlight sensor data for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=set_member(
field="ts",
source=Probe("sunlight", code="brt"),
match="ts",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076518 | train |
v1 | Sensor network script:
Node: drought_index | code: gst | fields: level, depth, lat, qc
Sensor: dew_point | fields: type, reading, lon, unit
Task: Retrieve lat from drought_index whose ts is found in dew_point records where qc matches the outer node.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=set_member(
field="ts",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076519 | train |
v2 | Sensor network script:
Node: lightning | code: ref | fields: type, qc, unit, ts
Sensor: dew_point | fields: value, reading, type, depth
Task: Fetch value from lightning that have at least one corresponding dew_point measurement for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076520 | train |
v2 | Sensor network script:
Node: lightning | code: stn | fields: lat, lon, ts, depth
Sensor: humidity | fields: ts, value, reading, level
Task: Retrieve lon from lightning that have at least one matching reading in humidity sharing the same depth.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="depth",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076521 | train |
v1 | Sensor network script:
Node: air_quality | code: gst | fields: lon, qc, ts, value
Sensor: turbidity | fields: type, qc, ts, level
Task: Fetch level from air_quality where depth exists in turbidity sensor data for the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=set_member(
field="depth",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076522 | train |
v1 | Sensor network script:
Node: frost | code: stn | fields: lon, qc, reading, level
Sensor: lightning | fields: lon, reading, unit, lat
Task: Fetch lon from frost where depth exists in lightning sensor data for the same unit.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076523 | train |
v1 | Sensor network script:
Node: wind_speed | code: clr | fields: level, type, ts, qc
Sensor: frost | fields: unit, lon, value, depth
Task: Fetch lat from wind_speed where qc exists in frost sensor data for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="clr"),
filter=set_member(
field="qc",
source=Probe("frost", code="frs"),
match="qc",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076524 | train |
v2 | Sensor network script:
Node: uv_index | code: hub | fields: level, qc, unit, depth
Sensor: pressure | fields: lat, value, level, ts
Task: Fetch level from uv_index that have at least one corresponding pressure measurement for the same qc.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="qc",
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076525 | train |
v1 | Sensor network script:
Node: drought_index | code: gst | fields: qc, unit, ts, depth
Sensor: uv_index | fields: depth, qc, unit, ts
Task: Retrieve reading from drought_index whose depth is found in uv_index records where depth matches the outer node.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=set_member(
field="depth",
source=Probe("uv_index", code="flx"),
match="depth",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076526 | train |
v2 | Sensor network script:
Node: drought_index | code: hub | fields: depth, value, level, unit
Sensor: pressure | fields: unit, lat, level, reading
Task: Fetch value from drought_index that have at least one corresponding pressure measurement for the same type.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="type",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076527 | train |
v1 | Sensor network script:
Node: drought_index | code: ref | fields: unit, qc, lat, level
Sensor: air_quality | fields: unit, depth, lon, type
Task: Retrieve level from drought_index whose qc is found in air_quality records where depth matches the outer node.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076528 | train |
v3 | Sensor network script:
Node: pressure | code: prt | fields: value, lon, type, depth
Sensor: drought_index | fields: depth, type, unit, reading
Task: Fetch lon from pressure where value is greater than the maximum of depth in drought_index for matching qc.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("drought_index", code="drt"),
match="qc"),
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076529 | train |
v3 | Sensor network script:
Node: pressure | code: mst | fields: depth, value, lon, qc
Sensor: humidity | fields: qc, unit, level, ts
Task: Retrieve value from pressure with reading above the MIN(value) of humidity readings sharing the same qc.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("humidity", code="hgr"),
match="qc"),
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076530 | train |
v3 | Sensor network script:
Node: temperature | code: hub | fields: depth, unit, ts, type
Sensor: dew_point | fields: lat, type, reading, qc
Task: Fetch lat from temperature where value is greater than the total of depth in dew_point for matching type.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("dew_point", code="cnd"),
match="type"),
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076531 | train |
v3 | Sensor network script:
Node: cloud_cover | code: stn | fields: reading, lat, value, type
Sensor: drought_index | fields: type, lon, depth, level
Task: Retrieve lon from cloud_cover with value above the MAX(value) of drought_index readings sharing the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("drought_index", code="drt"),
match="depth"),
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076532 | train |
v3 | Sensor network script:
Node: snow_depth | code: gst | fields: value, type, ts, depth
Sensor: uv_index | fields: type, ts, qc, lon
Task: Fetch lat from snow_depth where reading is greater than the maximum of depth in uv_index for matching qc.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("uv_index", code="flx"),
match="qc"),
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076533 | train |
v3 | Sensor network script:
Node: sunlight | code: clr | fields: depth, ts, type, lon
Sensor: lightning | fields: lon, lat, value, ts
Task: Retrieve depth from sunlight with depth above the MAX(reading) of lightning readings sharing the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "reading",
source=Probe("lightning", code="tnd"),
match="qc"),
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "lightning",
"outer_alias": "clr",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076534 | train |
v3 | Sensor network script:
Node: snow_depth | code: clr | fields: depth, value, level, unit
Sensor: wind_speed | fields: unit, lon, qc, value
Task: Get reading from snow_depth where value exceeds the maximum value from wind_speed for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("wind_speed", code="gst"),
match="qc"),
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076535 | train |
v2 | Sensor network script:
Node: turbidity | code: gst | fields: ts, value, level, qc
Sensor: sunlight | fields: lon, type, reading, depth
Task: Retrieve reading from turbidity that have at least one matching reading in sunlight sharing the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076536 | train |
v2 | Sensor network script:
Node: rainfall | code: gst | fields: lon, ts, type, lat
Sensor: cloud_cover | fields: depth, lon, reading, value
Task: Fetch lat from rainfall that have at least one corresponding cloud_cover measurement for the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076537 | train |
v2 | Sensor network script:
Node: temperature | code: stn | fields: lat, value, ts, reading
Sensor: air_quality | fields: type, qc, value, ts
Task: Fetch depth from temperature that have at least one corresponding air_quality measurement for the same depth.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="depth",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076538 | train |
v1 | Sensor network script:
Node: frost | code: ref | fields: lon, ts, value, type
Sensor: drought_index | fields: qc, type, lat, ts
Task: Retrieve depth from frost whose type is found in drought_index records where depth matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=set_member(
field="type",
source=Probe("drought_index", code="drt"),
match="depth",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "depth",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076539 | train |
v2 | Sensor network script:
Node: turbidity | code: stn | fields: value, lon, reading, qc
Sensor: air_quality | fields: qc, lon, ts, unit
Task: Fetch lon from turbidity that have at least one corresponding air_quality measurement for the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076540 | train |
v1 | Sensor network script:
Node: air_quality | code: mst | fields: ts, reading, qc, level
Sensor: soil_moisture | fields: lat, qc, type, value
Task: Retrieve depth from air_quality whose ts is found in soil_moisture records where ts matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=set_member(
field="ts",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076541 | train |
v1 | Sensor network script:
Node: air_quality | code: thr | fields: qc, reading, depth, lon
Sensor: dew_point | fields: lat, type, unit, qc
Task: Retrieve lon from air_quality whose depth is found in dew_point records where type matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="type",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076542 | train |
v1 | Sensor network script:
Node: lightning | code: gst | fields: ts, unit, lat, level
Sensor: drought_index | fields: type, unit, level, qc
Task: Fetch depth from lightning where qc exists in drought_index sensor data for the same type.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="drt"),
match="type",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076543 | train |
v1 | Sensor network script:
Node: humidity | code: ref | fields: reading, unit, lon, lat
Sensor: pressure | fields: qc, unit, level, depth
Task: Get lon from humidity where depth appears in pressure readings with matching type.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=set_member(
field="depth",
source=Probe("pressure", code="mbl"),
match="type",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076544 | train |
v1 | Sensor network script:
Node: frost | code: clr | fields: lat, depth, type, reading
Sensor: wind_speed | fields: ts, lat, reading, lon
Task: Fetch depth from frost where type exists in wind_speed sensor data for the same unit.
Script: | readings = fetch(
node=Node("frost", code="clr"),
filter=set_member(
field="type",
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076545 | train |
v2 | Sensor network script:
Node: cloud_cover | code: prt | fields: type, value, lat, reading
Sensor: sunlight | fields: value, reading, lat, lon
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="prt"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"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_076546 | train |
v1 | Sensor network script:
Node: rainfall | code: mst | fields: level, qc, lon, type
Sensor: pressure | fields: level, reading, ts, lon
Task: Retrieve lat from rainfall whose type is found in pressure records where ts matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=set_member(
field="type",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "lat",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076547 | train |
v3 | Sensor network script:
Node: wind_speed | code: prt | fields: value, ts, type, qc
Sensor: humidity | fields: unit, depth, lon, qc
Task: Retrieve depth from wind_speed with value above the SUM(reading) of humidity readings sharing the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("humidity", code="hgr"),
match="type"),
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076548 | train |
v1 | Sensor network script:
Node: rainfall | code: hub | fields: ts, depth, unit, type
Sensor: lightning | fields: ts, level, reading, depth
Task: Fetch level from rainfall where qc exists in lightning sensor data for the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076549 | train |
v1 | Sensor network script:
Node: turbidity | code: mst | fields: depth, reading, ts, qc
Sensor: air_quality | fields: unit, qc, lat, lon
Task: Retrieve reading from turbidity whose depth is found in air_quality records where qc matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076550 | train |
v3 | Sensor network script:
Node: rainfall | code: hub | fields: qc, level, reading, lat
Sensor: snow_depth | fields: lat, type, lon, reading
Task: Get value from rainfall where value exceeds the minimum value from snow_depth for the same type.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("snow_depth", code="snw"),
match="type"),
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076551 | train |
v2 | Sensor network script:
Node: temperature | code: thr | fields: lon, value, qc, unit
Sensor: humidity | fields: qc, reading, type, lon
Task: Retrieve lat from temperature that have at least one matching reading in humidity sharing the same qc.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076552 | train |
v1 | Sensor network script:
Node: evaporation | code: stn | fields: qc, level, type, ts
Sensor: frost | fields: unit, level, type, value
Task: Get level from evaporation where unit appears in frost readings with matching qc.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=set_member(
field="unit",
source=Probe("frost", code="frs"),
match="qc",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "frost",
"outer_alias": "stn",
"inner_alias": "frs",
"proj_col": "level",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076553 | train |
v1 | Sensor network script:
Node: rainfall | code: gst | fields: lon, lat, level, ts
Sensor: evaporation | fields: qc, type, reading, depth
Task: Fetch level from rainfall where ts exists in evaporation sensor data for the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=set_member(
field="ts",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076554 | train |
v2 | Sensor network script:
Node: air_quality | code: hub | fields: type, depth, reading, ts
Sensor: pressure | fields: depth, lat, type, qc
Task: Get reading from air_quality where a corresponding entry exists in pressure with the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="ts",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076555 | train |
v3 | Sensor network script:
Node: visibility | code: hub | fields: reading, lon, level, type
Sensor: rainfall | fields: type, ts, unit, value
Task: Retrieve lat from visibility with depth above the MAX(reading) of rainfall readings sharing the same type.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "reading",
source=Probe("rainfall", code="rnfl"),
match="type"),
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076556 | train |
v2 | Sensor network script:
Node: soil_moisture | code: stn | fields: lat, lon, level, ts
Sensor: cloud_cover | fields: value, depth, level, qc
Task: Get value from soil_moisture where a corresponding entry exists in cloud_cover with the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076557 | train |
v1 | Sensor network script:
Node: cloud_cover | code: prt | fields: value, level, type, depth
Sensor: uv_index | fields: ts, type, qc, unit
Task: Retrieve lat from cloud_cover whose qc is found in uv_index records where ts matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=set_member(
field="qc",
source=Probe("uv_index", code="flx"),
match="ts",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "uv_index",
"outer_alias": "prt",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076558 | train |
v3 | Sensor network script:
Node: snow_depth | code: prt | fields: lat, type, level, reading
Sensor: turbidity | fields: lat, type, ts, unit
Task: Get lon from snow_depth where depth exceeds the average value from turbidity for the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("turbidity", code="ftu"),
match="ts"),
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076559 | train |
v2 | Sensor network script:
Node: frost | code: hub | fields: depth, unit, ts, reading
Sensor: cloud_cover | fields: lat, lon, depth, ts
Task: Retrieve lat from frost that have at least one matching reading in cloud_cover sharing the same ts.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076560 | train |
v3 | Sensor network script:
Node: sunlight | code: clr | fields: reading, level, value, unit
Sensor: humidity | fields: type, reading, lat, level
Task: Retrieve lat from sunlight with value above the MAX(value) of humidity readings sharing the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("humidity", code="hgr"),
match="ts"),
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076561 | train |
v3 | Sensor network script:
Node: visibility | code: hub | fields: lat, lon, type, ts
Sensor: air_quality | fields: level, value, type, qc
Task: Fetch depth from visibility where value is greater than the total of reading in air_quality for matching depth.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("air_quality", code="prt"),
match="depth"),
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076562 | train |
v3 | Sensor network script:
Node: turbidity | code: thr | fields: qc, lat, unit, depth
Sensor: snow_depth | fields: qc, lon, unit, type
Task: Fetch depth from turbidity where value is greater than the average of depth in snow_depth for matching unit.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("snow_depth", code="snw"),
match="unit"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "snow_depth",
"outer_alias": "thr",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076563 | train |
v3 | Sensor network script:
Node: drought_index | code: hub | fields: lon, value, reading, qc
Sensor: air_quality | fields: value, type, ts, level
Task: Get level from drought_index where depth exceeds the average depth from air_quality for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("air_quality", code="prt"),
match="qc"),
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076564 | train |
v1 | Sensor network script:
Node: uv_index | code: gst | fields: reading, type, lat, level
Sensor: drought_index | fields: lon, qc, unit, depth
Task: Fetch lat from uv_index where qc exists in drought_index sensor data for the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="gst"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="drt"),
match="ts",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076565 | train |
v1 | Sensor network script:
Node: pressure | code: mst | fields: depth, lat, unit, value
Sensor: cloud_cover | fields: depth, qc, value, ts
Task: Get level from pressure where unit appears in cloud_cover readings with matching type.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076566 | train |
v3 | Sensor network script:
Node: soil_moisture | code: gst | fields: qc, depth, level, lon
Sensor: evaporation | fields: unit, ts, value, lat
Task: Retrieve lon from soil_moisture with reading above the COUNT(value) of evaporation readings sharing the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("evaporation", code="evp"),
match="ts"),
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076567 | train |
v3 | Sensor network script:
Node: drought_index | code: hub | fields: depth, type, ts, level
Sensor: lightning | fields: type, reading, qc, ts
Task: Get reading from drought_index where reading exceeds the maximum value from lightning for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("lightning", code="tnd"),
match="qc"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076568 | train |
v2 | Sensor network script:
Node: cloud_cover | code: hub | fields: lon, depth, value, reading
Sensor: evaporation | fields: lon, value, type, ts
Task: Retrieve value from cloud_cover that have at least one matching reading in evaporation sharing the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="depth",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076569 | train |
v3 | Sensor network script:
Node: air_quality | code: prt | fields: reading, qc, lat, lon
Sensor: pressure | fields: value, qc, ts, unit
Task: Fetch lon from air_quality where reading is greater than the average of depth in pressure for matching type.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("pressure", code="mbl"),
match="type"),
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076570 | train |
v2 | Sensor network script:
Node: visibility | code: clr | fields: level, type, value, ts
Sensor: temperature | fields: depth, qc, lon, level
Task: Retrieve reading from visibility that have at least one matching reading in temperature sharing the same type.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="type",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076571 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: lon, qc, depth, lat
Sensor: snow_depth | fields: unit, level, type, lat
Task: Retrieve reading from evaporation whose depth is found in snow_depth records where depth matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="depth",
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "snow_depth",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076572 | train |
v2 | Sensor network script:
Node: sunlight | code: hub | fields: depth, ts, reading, level
Sensor: temperature | fields: ts, lon, qc, lat
Task: Fetch value from sunlight that have at least one corresponding temperature measurement for the same type.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="type",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076573 | train |
v2 | Sensor network script:
Node: cloud_cover | code: mst | fields: lat, value, ts, lon
Sensor: sunlight | fields: qc, lat, depth, value
Task: Get reading from cloud_cover where a corresponding entry exists in sunlight with the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "mst",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076574 | train |
v3 | Sensor network script:
Node: wind_speed | code: hub | fields: lat, lon, ts, value
Sensor: dew_point | fields: lon, reading, value, level
Task: Fetch level from wind_speed where reading is greater than the average of reading in dew_point for matching depth.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("dew_point", code="cnd"),
match="depth"),
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076575 | train |
v2 | Sensor network script:
Node: visibility | code: clr | fields: lat, qc, depth, lon
Sensor: uv_index | fields: qc, depth, type, unit
Task: Fetch reading from visibility that have at least one corresponding uv_index measurement for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="qc",
),
output="reading",
) | {
"outer_table": "visibility",
"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_076576 | train |
v3 | Sensor network script:
Node: soil_moisture | code: stn | fields: ts, reading, type, level
Sensor: lightning | fields: level, depth, qc, lon
Task: Get lon from soil_moisture where reading exceeds the average reading from lightning for the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076577 | train |
v3 | Sensor network script:
Node: pressure | code: clr | fields: value, ts, depth, qc
Sensor: dew_point | fields: ts, lat, qc, value
Task: Get depth from pressure where value exceeds the minimum reading from dew_point for the same qc.
Script: | readings = fetch(
node=Node("pressure", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "reading",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076578 | train |
v3 | Sensor network script:
Node: lightning | code: stn | fields: lon, reading, level, ts
Sensor: frost | fields: value, lat, level, ts
Task: Fetch reading from lightning where value is greater than the maximum of depth in frost for matching unit.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("frost", code="frs"),
match="unit"),
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "frost",
"outer_alias": "stn",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076579 | train |
v1 | Sensor network script:
Node: soil_moisture | code: mst | fields: reading, lat, value, unit
Sensor: wind_speed | fields: reading, lat, unit, ts
Task: Fetch depth from soil_moisture where ts exists in wind_speed sensor data for the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "wind_speed",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076580 | train |
v1 | Sensor network script:
Node: lightning | code: ref | fields: qc, lon, lat, level
Sensor: cloud_cover | fields: depth, reading, level, qc
Task: Fetch value from lightning where ts exists in cloud_cover sensor data for the same unit.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=set_member(
field="ts",
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076581 | train |
v1 | Sensor network script:
Node: turbidity | code: gst | fields: reading, qc, value, type
Sensor: lightning | fields: value, reading, type, unit
Task: Retrieve lat from turbidity whose unit is found in lightning records where unit matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=set_member(
field="unit",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076582 | train |
v2 | Sensor network script:
Node: humidity | code: clr | fields: lon, level, depth, value
Sensor: temperature | fields: value, lat, qc, depth
Task: Get level from humidity where a corresponding entry exists in temperature with the same ts.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076583 | train |
v3 | Sensor network script:
Node: wind_speed | code: mst | fields: level, depth, reading, lat
Sensor: rainfall | fields: value, ts, depth, level
Task: Retrieve lon from wind_speed with value above the MIN(depth) of rainfall readings sharing the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("rainfall", code="rnfl"),
match="ts"),
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "rainfall",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076584 | train |
v2 | Sensor network script:
Node: uv_index | code: hub | fields: ts, unit, type, lat
Sensor: cloud_cover | fields: type, level, qc, depth
Task: Retrieve depth from uv_index that have at least one matching reading in cloud_cover sharing the same type.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076585 | train |
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: value, lat, type, level
Sensor: visibility | fields: ts, reading, level, lon
Task: Get depth from snow_depth where type appears in visibility readings with matching qc.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="type",
source=Probe("visibility", code="clr"),
match="qc",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076586 | train |
v2 | Sensor network script:
Node: air_quality | code: gst | fields: depth, unit, type, lon
Sensor: pressure | fields: lat, unit, qc, value
Task: Fetch level from air_quality that have at least one corresponding pressure measurement for the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="unit",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076587 | train |
v3 | Sensor network script:
Node: humidity | code: hub | fields: lon, value, depth, unit
Sensor: wind_speed | fields: type, depth, reading, lon
Task: Fetch reading from humidity where value is greater than the minimum of depth in wind_speed for matching depth.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("wind_speed", code="gst"),
match="depth"),
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "wind_speed",
"outer_alias": "hub",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076588 | train |
v2 | Sensor network script:
Node: snow_depth | code: gst | fields: type, qc, value, unit
Sensor: air_quality | fields: unit, level, ts, qc
Task: Get lon from snow_depth where a corresponding entry exists in air_quality with the same depth.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="depth",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_076589 | train |
v3 | Sensor network script:
Node: cloud_cover | code: clr | fields: ts, depth, level, lon
Sensor: pressure | fields: level, type, qc, reading
Task: Get depth from cloud_cover where value exceeds the maximum value from pressure for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("pressure", code="mbl"),
match="qc"),
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "pressure",
"outer_alias": "clr",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076590 | train |
v2 | Sensor network script:
Node: turbidity | code: hub | fields: value, depth, reading, qc
Sensor: soil_moisture | fields: ts, unit, qc, type
Task: Fetch lon from turbidity that have at least one corresponding soil_moisture measurement for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="hub"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="depth",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076591 | train |
v3 | Sensor network script:
Node: snow_depth | code: thr | fields: lon, lat, depth, qc
Sensor: soil_moisture | fields: ts, lon, unit, reading
Task: Get reading from snow_depth where value exceeds the minimum reading from soil_moisture for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "reading",
source=Probe("soil_moisture", code="grvl"),
match="qc"),
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "soil_moisture",
"outer_alias": "thr",
"inner_alias": "grvl",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076592 | train |
v3 | Sensor network script:
Node: frost | code: hub | fields: value, level, lon, type
Sensor: soil_moisture | fields: value, reading, qc, unit
Task: Fetch level from frost where depth is greater than the count of of depth in soil_moisture for matching qc.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("soil_moisture", code="grvl"),
match="qc"),
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076593 | train |
v2 | Sensor network script:
Node: snow_depth | code: gst | fields: reading, unit, lat, ts
Sensor: turbidity | fields: value, qc, ts, lon
Task: Get lon from snow_depth where a corresponding entry exists in turbidity with the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076594 | train |
v3 | Sensor network script:
Node: visibility | code: stn | fields: type, qc, depth, lat
Sensor: cloud_cover | fields: value, ts, unit, type
Task: Fetch depth from visibility where depth is greater than the minimum of reading in cloud_cover for matching unit.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("cloud_cover", code="nbl"),
match="unit"),
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076595 | train |
v2 | Sensor network script:
Node: evaporation | code: clr | fields: level, lon, depth, reading
Sensor: dew_point | fields: reading, lat, depth, unit
Task: Retrieve lon from evaporation that have at least one matching reading in dew_point sharing the same type.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="type",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076596 | train |
v1 | Sensor network script:
Node: dew_point | code: hub | fields: value, reading, depth, ts
Sensor: evaporation | fields: level, lat, depth, unit
Task: Fetch lon from dew_point where type exists in evaporation sensor data for the same type.
Script: | readings = fetch(
node=Node("dew_point", code="hub"),
filter=set_member(
field="type",
source=Probe("evaporation", code="evp"),
match="type",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076597 | train |
v2 | Sensor network script:
Node: humidity | code: hub | fields: reading, level, qc, unit
Sensor: cloud_cover | fields: qc, reading, ts, unit
Task: Fetch lon from humidity that have at least one corresponding cloud_cover measurement for the same unit.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076598 | train |
v3 | Sensor network script:
Node: evaporation | code: mst | fields: lat, value, type, ts
Sensor: dew_point | fields: qc, reading, type, unit
Task: Retrieve lon from evaporation with depth above the MIN(value) of dew_point readings sharing the same type.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("dew_point", code="cnd"),
match="type"),
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_076599 | train |
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