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: temperature | code: ref | fields: reading, level, lat, ts
Sensor: rainfall | fields: type, qc, ts, unit
Task: Retrieve lat from temperature that have at least one matching reading in rainfall sharing the same qc.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016300 | train |
v1 | Sensor network script:
Node: cloud_cover | code: stn | fields: type, unit, value, lon
Sensor: turbidity | fields: lon, value, type, qc
Task: Get level from cloud_cover where unit appears in turbidity readings with matching qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "stn",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016301 | train |
v1 | Sensor network script:
Node: air_quality | code: hub | fields: ts, value, lon, unit
Sensor: drought_index | fields: lon, reading, value, level
Task: Retrieve lon from air_quality whose depth is found in drought_index records where type matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=set_member(
field="depth",
source=Probe("drought_index", code="drt"),
match="type",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "drought_index",
"outer_alias": "hub",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016302 | train |
v3 | Sensor network script:
Node: air_quality | code: hub | fields: value, type, unit, lon
Sensor: humidity | fields: level, type, value, qc
Task: Fetch reading from air_quality where reading is greater than the minimum of value in humidity for matching qc.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("humidity", code="hgr"),
match="qc"),
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "humidity",
"outer_alias": "hub",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016303 | train |
v1 | Sensor network script:
Node: cloud_cover | code: gst | fields: ts, type, qc, value
Sensor: pressure | fields: reading, ts, lat, value
Task: Fetch value from cloud_cover where unit exists in pressure sensor data for the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=set_member(
field="unit",
source=Probe("pressure", code="mbl"),
match="unit",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016304 | train |
v1 | Sensor network script:
Node: rainfall | code: prt | fields: unit, reading, lon, level
Sensor: temperature | fields: qc, level, lon, lat
Task: Retrieve lat from rainfall whose type is found in temperature records where depth matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="depth",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016305 | train |
v1 | Sensor network script:
Node: drought_index | code: clr | fields: depth, lon, reading, lat
Sensor: air_quality | fields: reading, level, value, qc
Task: Get value from drought_index where type appears in air_quality readings with matching type.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=set_member(
field="type",
source=Probe("air_quality", code="prt"),
match="type",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016306 | train |
v1 | Sensor network script:
Node: evaporation | code: thr | fields: lon, qc, ts, unit
Sensor: dew_point | fields: lat, unit, reading, value
Task: Retrieve lon from evaporation whose depth is found in dew_point records where depth matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016307 | train |
v3 | Sensor network script:
Node: turbidity | code: ref | fields: unit, value, level, ts
Sensor: sunlight | fields: reading, type, level, ts
Task: Retrieve lon from turbidity with depth above the SUM(depth) of sunlight readings sharing the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("sunlight", code="brt"),
match="depth"),
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016308 | train |
v1 | Sensor network script:
Node: rainfall | code: clr | fields: depth, unit, lon, value
Sensor: dew_point | fields: unit, type, reading, qc
Task: Retrieve reading from rainfall whose type is found in dew_point records where type matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=set_member(
field="type",
source=Probe("dew_point", code="cnd"),
match="type",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016309 | train |
v3 | Sensor network script:
Node: evaporation | code: hub | fields: qc, level, ts, unit
Sensor: uv_index | fields: level, unit, value, depth
Task: Fetch lat from evaporation where depth is greater than the total of value in uv_index for matching qc.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("uv_index", code="flx"),
match="qc"),
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016310 | train |
v2 | Sensor network script:
Node: evaporation | code: prt | fields: lon, depth, reading, value
Sensor: sunlight | fields: depth, ts, unit, qc
Task: Retrieve lon from evaporation that have at least one matching reading in sunlight sharing the same type.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="lon",
) | {
"outer_table": "evaporation",
"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_016311 | train |
v3 | Sensor network script:
Node: drought_index | code: ref | fields: depth, lon, type, ts
Sensor: turbidity | fields: ts, qc, type, lon
Task: Retrieve reading from drought_index with reading above the MIN(value) of turbidity readings sharing the same type.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("turbidity", code="ftu"),
match="type"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016312 | train |
v3 | Sensor network script:
Node: temperature | code: mst | fields: value, type, qc, ts
Sensor: turbidity | fields: ts, unit, depth, reading
Task: Get lon from temperature where reading exceeds the total value from turbidity for the same depth.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "value",
source=Probe("turbidity", code="ftu"),
match="depth"),
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016313 | train |
v2 | Sensor network script:
Node: frost | code: hub | fields: level, lat, depth, lon
Sensor: uv_index | fields: type, lat, reading, value
Task: Retrieve value from frost that have at least one matching reading in uv_index sharing the same depth.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="depth",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016314 | train |
v2 | Sensor network script:
Node: air_quality | code: hub | fields: value, depth, type, unit
Sensor: dew_point | fields: qc, lat, type, reading
Task: Get lon from air_quality where a corresponding entry exists in dew_point with the same type.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="type",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016315 | train |
v1 | Sensor network script:
Node: snow_depth | code: thr | fields: depth, reading, value, lat
Sensor: humidity | fields: lon, lat, level, qc
Task: Get lon from snow_depth where unit appears in humidity readings with matching type.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=set_member(
field="unit",
source=Probe("humidity", code="hgr"),
match="type",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016316 | train |
v1 | Sensor network script:
Node: turbidity | code: gst | fields: type, depth, lon, level
Sensor: temperature | fields: reading, level, depth, lat
Task: Fetch reading from turbidity where type exists in temperature sensor data for the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="unit",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016317 | train |
v3 | Sensor network script:
Node: air_quality | code: ref | fields: depth, reading, type, value
Sensor: temperature | fields: unit, level, type, qc
Task: Get lat from air_quality where depth exceeds the average value from temperature for the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("temperature", code="thr"),
match="ts"),
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016318 | train |
v2 | Sensor network script:
Node: uv_index | code: thr | fields: lat, value, qc, depth
Sensor: cloud_cover | fields: type, level, unit, value
Task: Get value from uv_index where a corresponding entry exists in cloud_cover with the same qc.
Script: | readings = fetch(
node=Node("uv_index", code="thr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016319 | train |
v2 | Sensor network script:
Node: lightning | code: ref | fields: unit, lon, lat, type
Sensor: snow_depth | fields: ts, lon, value, depth
Task: Retrieve depth from lightning that have at least one matching reading in snow_depth sharing the same unit.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016320 | train |
v2 | Sensor network script:
Node: cloud_cover | code: gst | fields: qc, depth, reading, level
Sensor: visibility | fields: lon, ts, qc, depth
Task: Retrieve level from cloud_cover that have at least one matching reading in visibility sharing the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="qc",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016321 | train |
v3 | Sensor network script:
Node: cloud_cover | code: gst | fields: lat, level, depth, type
Sensor: rainfall | fields: lat, lon, reading, level
Task: Get lat from cloud_cover where value exceeds the total value from rainfall for the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("rainfall", code="rnfl"),
match="depth"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016322 | train |
v3 | Sensor network script:
Node: visibility | code: gst | fields: lat, qc, level, type
Sensor: humidity | fields: type, value, unit, ts
Task: Retrieve lat from visibility with reading above the MIN(value) of humidity readings sharing the same ts.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("humidity", code="hgr"),
match="ts"),
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016323 | train |
v1 | Sensor network script:
Node: turbidity | code: hub | fields: type, reading, unit, level
Sensor: air_quality | fields: value, level, lon, qc
Task: Get lat from turbidity where type appears in air_quality readings with matching type.
Script: | readings = fetch(
node=Node("turbidity", code="hub"),
filter=set_member(
field="type",
source=Probe("air_quality", code="prt"),
match="type",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "lat",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016324 | train |
v2 | Sensor network script:
Node: pressure | code: thr | fields: reading, qc, value, ts
Sensor: rainfall | fields: unit, qc, lon, lat
Task: Retrieve level from pressure that have at least one matching reading in rainfall sharing the same qc.
Script: | readings = fetch(
node=Node("pressure", code="thr"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016325 | train |
v2 | Sensor network script:
Node: soil_moisture | code: prt | fields: depth, lat, ts, reading
Sensor: visibility | fields: type, lon, value, lat
Task: Get value from soil_moisture where a corresponding entry exists in visibility with the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="type",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016326 | train |
v3 | Sensor network script:
Node: uv_index | code: ref | fields: reading, lon, type, unit
Sensor: cloud_cover | fields: value, depth, qc, lat
Task: Fetch reading from uv_index where reading is greater than the average of depth in cloud_cover for matching unit.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("cloud_cover", code="nbl"),
match="unit"),
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016327 | train |
v2 | Sensor network script:
Node: humidity | code: prt | fields: lon, type, reading, unit
Sensor: turbidity | fields: lon, reading, lat, type
Task: Fetch reading from humidity that have at least one corresponding turbidity measurement for the same type.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016328 | train |
v1 | Sensor network script:
Node: drought_index | code: ref | fields: value, lat, level, lon
Sensor: temperature | fields: depth, qc, reading, ts
Task: Fetch reading from drought_index where qc exists in temperature sensor data for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=set_member(
field="qc",
source=Probe("temperature", code="thr"),
match="unit",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016329 | train |
v1 | Sensor network script:
Node: air_quality | code: clr | fields: type, value, ts, level
Sensor: frost | fields: reading, value, ts, level
Task: Fetch value from air_quality where qc exists in frost sensor data for the same qc.
Script: | readings = fetch(
node=Node("air_quality", code="clr"),
filter=set_member(
field="qc",
source=Probe("frost", code="frs"),
match="qc",
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "value",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016330 | train |
v3 | Sensor network script:
Node: sunlight | code: thr | fields: value, level, qc, unit
Sensor: uv_index | fields: depth, value, lat, type
Task: Get value from sunlight where reading exceeds the count of value from uv_index for the same depth.
Script: | readings = fetch(
node=Node("sunlight", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("uv_index", code="flx"),
match="depth"),
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016331 | train |
v1 | Sensor network script:
Node: wind_speed | code: ref | fields: depth, lat, qc, reading
Sensor: air_quality | fields: qc, reading, lon, unit
Task: Retrieve level from wind_speed whose unit is found in air_quality records where ts matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016332 | train |
v2 | Sensor network script:
Node: visibility | code: clr | fields: depth, level, reading, lon
Sensor: drought_index | fields: ts, level, type, lon
Task: Retrieve depth from visibility that have at least one matching reading in drought_index sharing the same depth.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="depth",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "drought_index",
"outer_alias": "clr",
"inner_alias": "drt",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016333 | train |
v1 | Sensor network script:
Node: rainfall | code: gst | fields: unit, reading, lon, ts
Sensor: uv_index | fields: lon, lat, depth, unit
Task: Fetch value from rainfall where ts exists in uv_index sensor data for the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=set_member(
field="ts",
source=Probe("uv_index", code="flx"),
match="qc",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016334 | train |
v3 | Sensor network script:
Node: turbidity | code: hub | fields: lon, type, level, ts
Sensor: pressure | fields: lon, qc, unit, ts
Task: Get depth from turbidity where reading exceeds the average reading from pressure for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("pressure", code="mbl"),
match="depth"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "depth",
"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_016335 | train |
v1 | Sensor network script:
Node: drought_index | code: clr | fields: type, ts, qc, level
Sensor: turbidity | fields: ts, level, value, depth
Task: Retrieve depth from drought_index whose unit is found in turbidity records where unit matches the outer node.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016336 | train |
v3 | Sensor network script:
Node: evaporation | code: hub | fields: unit, lat, reading, level
Sensor: temperature | fields: level, depth, type, qc
Task: Retrieve value from evaporation with depth above the MAX(depth) of temperature readings sharing the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016337 | train |
v1 | Sensor network script:
Node: drought_index | code: mst | fields: level, ts, depth, unit
Sensor: soil_moisture | fields: lon, unit, type, lat
Task: Retrieve value from drought_index whose depth is found in soil_moisture records where type matches the outer node.
Script: | readings = fetch(
node=Node("drought_index", code="mst"),
filter=set_member(
field="depth",
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "value",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016338 | train |
v1 | Sensor network script:
Node: frost | code: thr | fields: lat, depth, lon, value
Sensor: air_quality | fields: level, type, qc, value
Task: Fetch lat from frost where qc exists in air_quality sensor data for the same type.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="type",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016339 | train |
v3 | Sensor network script:
Node: air_quality | code: clr | fields: lat, value, unit, lon
Sensor: drought_index | fields: depth, reading, ts, lon
Task: Get lat from air_quality where reading exceeds the count of reading from drought_index for the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "reading",
source=Probe("drought_index", code="drt"),
match="depth"),
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "drought_index",
"outer_alias": "clr",
"inner_alias": "drt",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016340 | train |
v1 | Sensor network script:
Node: evaporation | code: stn | fields: unit, value, ts, lon
Sensor: lightning | fields: value, reading, lat, depth
Task: Retrieve level from evaporation whose unit is found in lightning records where qc matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=set_member(
field="unit",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016341 | train |
v1 | Sensor network script:
Node: turbidity | code: thr | fields: value, unit, lat, ts
Sensor: soil_moisture | fields: ts, lon, qc, level
Task: Retrieve reading from turbidity whose qc is found in soil_moisture records where type matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "soil_moisture",
"outer_alias": "thr",
"inner_alias": "grvl",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016342 | train |
v3 | Sensor network script:
Node: snow_depth | code: thr | fields: ts, unit, reading, lat
Sensor: turbidity | fields: lat, qc, unit, level
Task: Fetch level from snow_depth where reading is greater than the maximum of depth in turbidity for matching qc.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016343 | train |
v1 | Sensor network script:
Node: pressure | code: prt | fields: depth, unit, lon, ts
Sensor: rainfall | fields: value, qc, lat, lon
Task: Retrieve lat from pressure whose qc is found in rainfall records where ts matches the outer node.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016344 | train |
v3 | Sensor network script:
Node: visibility | code: prt | fields: reading, qc, lat, lon
Sensor: wind_speed | fields: qc, lat, level, depth
Task: Get level from visibility where reading exceeds the average reading from wind_speed for the same unit.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("wind_speed", code="gst"),
match="unit"),
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016345 | train |
v1 | Sensor network script:
Node: frost | code: thr | fields: lat, lon, type, qc
Sensor: cloud_cover | fields: qc, unit, level, lat
Task: Get lon from frost where depth appears in cloud_cover readings with matching qc.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016346 | train |
v1 | Sensor network script:
Node: dew_point | code: mst | fields: type, lat, level, value
Sensor: soil_moisture | fields: ts, qc, value, depth
Task: Get lat from dew_point where depth appears in soil_moisture readings with matching ts.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=set_member(
field="depth",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016347 | train |
v2 | Sensor network script:
Node: sunlight | code: gst | fields: type, lat, lon, level
Sensor: lightning | fields: level, reading, unit, qc
Task: Retrieve lat from sunlight that have at least one matching reading in lightning sharing the same type.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="type",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016348 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: level, reading, lon, lat
Sensor: rainfall | fields: qc, type, unit, value
Task: Get level from dew_point where a corresponding entry exists in rainfall with the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="level",
) | {
"outer_table": "dew_point",
"inner_table": "rainfall",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016349 | train |
v2 | Sensor network script:
Node: frost | code: prt | fields: depth, unit, value, lat
Sensor: wind_speed | fields: level, ts, value, depth
Task: Fetch depth from frost that have at least one corresponding wind_speed measurement for the same qc.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016350 | train |
v1 | Sensor network script:
Node: rainfall | code: hub | fields: qc, unit, depth, value
Sensor: visibility | fields: lon, ts, qc, unit
Task: Fetch depth from rainfall where unit exists in visibility sensor data for the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=set_member(
field="unit",
source=Probe("visibility", code="clr"),
match="qc",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016351 | train |
v3 | Sensor network script:
Node: dew_point | code: clr | fields: ts, level, lat, value
Sensor: drought_index | fields: type, reading, depth, lat
Task: Fetch lon from dew_point where value is greater than the count of of reading in drought_index for matching qc.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("drought_index", code="drt"),
match="qc"),
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "drought_index",
"outer_alias": "clr",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016352 | train |
v1 | Sensor network script:
Node: lightning | code: stn | fields: type, reading, lat, depth
Sensor: cloud_cover | fields: depth, unit, type, lat
Task: Fetch lon from lightning where ts exists in cloud_cover sensor data for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=set_member(
field="ts",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016353 | train |
v2 | Sensor network script:
Node: wind_speed | code: ref | fields: qc, reading, unit, lon
Sensor: frost | fields: ts, lat, qc, reading
Task: Get lat from wind_speed where a corresponding entry exists in frost with the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=has_match(
source=Probe("frost", code="frs"),
match="ts",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016354 | train |
v2 | Sensor network script:
Node: temperature | code: mst | fields: unit, lon, depth, qc
Sensor: rainfall | fields: lat, qc, ts, type
Task: Get lon from temperature where a corresponding entry exists in rainfall with the same type.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "rainfall",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016355 | train |
v1 | Sensor network script:
Node: uv_index | code: prt | fields: ts, level, value, reading
Sensor: frost | fields: qc, level, unit, lat
Task: Retrieve lon from uv_index whose qc is found in frost records where qc matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=set_member(
field="qc",
source=Probe("frost", code="frs"),
match="qc",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016356 | train |
v2 | Sensor network script:
Node: evaporation | code: mst | fields: unit, lon, reading, depth
Sensor: cloud_cover | fields: lat, depth, level, qc
Task: Get value from evaporation where a corresponding entry exists in cloud_cover with the same type.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016357 | train |
v1 | Sensor network script:
Node: lightning | code: hub | fields: type, value, unit, lat
Sensor: wind_speed | fields: unit, level, lon, value
Task: Retrieve value from lightning whose ts is found in wind_speed records where depth matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "wind_speed",
"outer_alias": "hub",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016358 | train |
v2 | Sensor network script:
Node: sunlight | code: mst | fields: ts, reading, lat, unit
Sensor: lightning | fields: reading, qc, type, unit
Task: Fetch level from sunlight that have at least one corresponding lightning measurement for the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016359 | train |
v3 | Sensor network script:
Node: frost | code: thr | fields: lon, value, depth, reading
Sensor: uv_index | fields: reading, unit, level, lat
Task: Retrieve value from frost with depth above the COUNT(value) of uv_index readings sharing the same qc.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "value",
source=Probe("uv_index", code="flx"),
match="qc"),
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016360 | train |
v3 | Sensor network script:
Node: air_quality | code: mst | fields: depth, unit, lon, qc
Sensor: soil_moisture | fields: lat, unit, depth, type
Task: Retrieve lat from air_quality with value above the SUM(depth) of soil_moisture readings sharing the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("soil_moisture", code="grvl"),
match="ts"),
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016361 | train |
v2 | Sensor network script:
Node: sunlight | code: prt | fields: value, level, ts, reading
Sensor: drought_index | fields: ts, level, value, unit
Task: Fetch reading from sunlight that have at least one corresponding drought_index measurement for the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="prt"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="unit",
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016362 | train |
v1 | Sensor network script:
Node: dew_point | code: prt | fields: lat, qc, ts, level
Sensor: rainfall | fields: lat, value, unit, type
Task: Get value from dew_point where depth appears in rainfall readings with matching ts.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=set_member(
field="depth",
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "value",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016363 | train |
v2 | Sensor network script:
Node: soil_moisture | code: thr | fields: value, level, depth, type
Sensor: lightning | fields: value, depth, unit, lat
Task: Retrieve lat from soil_moisture that have at least one matching reading in lightning sharing the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="ts",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016364 | train |
v3 | Sensor network script:
Node: humidity | code: prt | fields: level, value, reading, qc
Sensor: cloud_cover | fields: lon, unit, lat, level
Task: Fetch lat from humidity where value is greater than the count of of value in cloud_cover for matching qc.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("cloud_cover", code="nbl"),
match="qc"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016365 | train |
v1 | Sensor network script:
Node: visibility | code: gst | fields: value, lat, ts, level
Sensor: temperature | fields: qc, lat, depth, level
Task: Get level from visibility where type appears in temperature readings with matching type.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="type",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "level",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016366 | train |
v3 | Sensor network script:
Node: temperature | code: hub | fields: ts, level, reading, lat
Sensor: soil_moisture | fields: ts, unit, level, value
Task: Retrieve depth from temperature with value above the MIN(reading) of soil_moisture readings sharing the same qc.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "reading",
source=Probe("soil_moisture", code="grvl"),
match="qc"),
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016367 | train |
v3 | Sensor network script:
Node: cloud_cover | code: thr | fields: depth, lat, qc, reading
Sensor: visibility | fields: value, qc, reading, level
Task: Fetch depth from cloud_cover where depth is greater than the average of depth in visibility for matching unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("visibility", code="clr"),
match="unit"),
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016368 | train |
v2 | Sensor network script:
Node: evaporation | code: ref | fields: level, ts, reading, qc
Sensor: visibility | fields: unit, ts, level, qc
Task: Fetch lat from evaporation that have at least one corresponding visibility measurement for the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016369 | train |
v2 | Sensor network script:
Node: frost | code: stn | fields: reading, lon, qc, unit
Sensor: wind_speed | fields: value, unit, reading, type
Task: Retrieve value from frost that have at least one matching reading in wind_speed sharing the same unit.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016370 | train |
v1 | Sensor network script:
Node: snow_depth | code: gst | fields: qc, depth, unit, lat
Sensor: cloud_cover | fields: ts, qc, depth, level
Task: Fetch depth from snow_depth where unit exists in cloud_cover sensor data for the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016371 | train |
v2 | Sensor network script:
Node: cloud_cover | code: prt | fields: depth, value, qc, level
Sensor: dew_point | fields: unit, depth, lon, value
Task: Retrieve level from cloud_cover that have at least one matching reading in dew_point sharing the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016372 | train |
v2 | Sensor network script:
Node: rainfall | code: prt | fields: type, reading, depth, level
Sensor: cloud_cover | fields: value, depth, lon, type
Task: Get reading from rainfall where a corresponding entry exists in cloud_cover with the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016373 | train |
v1 | Sensor network script:
Node: visibility | code: ref | fields: depth, level, type, lon
Sensor: pressure | fields: unit, qc, lon, value
Task: Fetch value from visibility where ts exists in pressure sensor data for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=set_member(
field="ts",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016374 | train |
v3 | Sensor network script:
Node: frost | code: prt | fields: level, unit, ts, lon
Sensor: wind_speed | fields: value, ts, lat, reading
Task: Retrieve value from frost with depth above the MIN(value) of wind_speed readings sharing the same depth.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("wind_speed", code="gst"),
match="depth"),
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016375 | train |
v1 | Sensor network script:
Node: frost | code: thr | fields: ts, type, value, depth
Sensor: cloud_cover | fields: reading, type, unit, value
Task: Fetch lon from frost where type exists in cloud_cover sensor data for the same depth.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=set_member(
field="type",
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "lon",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016376 | train |
v3 | Sensor network script:
Node: soil_moisture | code: hub | fields: unit, value, ts, lon
Sensor: evaporation | fields: type, unit, ts, lon
Task: Get lon from soil_moisture where reading exceeds the total depth from evaporation for the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("evaporation", code="evp"),
match="ts"),
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016377 | train |
v3 | Sensor network script:
Node: dew_point | code: ref | fields: level, lat, ts, unit
Sensor: temperature | fields: reading, lon, type, qc
Task: Fetch depth from dew_point where depth is greater than the minimum of reading in temperature for matching unit.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("temperature", code="thr"),
match="unit"),
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016378 | train |
v1 | Sensor network script:
Node: soil_moisture | code: clr | fields: type, ts, qc, lat
Sensor: cloud_cover | fields: reading, value, type, depth
Task: Fetch lat from soil_moisture where qc exists in cloud_cover sensor data for the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=set_member(
field="qc",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "clr",
"inner_alias": "nbl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016379 | train |
v3 | Sensor network script:
Node: uv_index | code: stn | fields: qc, unit, value, reading
Sensor: frost | fields: reading, ts, lon, depth
Task: Get depth from uv_index where depth exceeds the count of depth from frost for the same type.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("frost", code="frs"),
match="type"),
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "frost",
"outer_alias": "stn",
"inner_alias": "frs",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016380 | train |
v1 | Sensor network script:
Node: wind_speed | code: mst | fields: reading, level, lon, value
Sensor: cloud_cover | fields: unit, reading, value, ts
Task: Retrieve value from wind_speed whose depth is found in cloud_cover records where type matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016381 | train |
v1 | Sensor network script:
Node: rainfall | code: clr | fields: reading, depth, level, lat
Sensor: pressure | fields: ts, reading, lon, value
Task: Get level from rainfall where ts appears in pressure readings with matching type.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=set_member(
field="ts",
source=Probe("pressure", code="mbl"),
match="type",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "clr",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016382 | train |
v3 | Sensor network script:
Node: soil_moisture | code: stn | fields: lon, ts, value, unit
Sensor: dew_point | fields: lon, reading, depth, qc
Task: Fetch lon from soil_moisture where value is greater than the average of reading in dew_point for matching unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("dew_point", code="cnd"),
match="unit"),
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016383 | train |
v1 | Sensor network script:
Node: visibility | code: gst | fields: reading, unit, lat, level
Sensor: pressure | fields: lon, ts, level, unit
Task: Fetch level from visibility where unit exists in pressure sensor data for the same ts.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=set_member(
field="unit",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016384 | train |
v2 | Sensor network script:
Node: evaporation | code: mst | fields: level, value, depth, reading
Sensor: turbidity | fields: qc, value, type, level
Task: Retrieve depth from evaporation that have at least one matching reading in turbidity sharing the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016385 | train |
v1 | Sensor network script:
Node: cloud_cover | code: prt | fields: type, reading, unit, level
Sensor: sunlight | fields: level, value, ts, lon
Task: Retrieve lat from cloud_cover whose ts is found in sunlight records where ts matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=set_member(
field="ts",
source=Probe("sunlight", code="brt"),
match="ts",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016386 | train |
v1 | Sensor network script:
Node: temperature | code: stn | fields: qc, depth, type, lon
Sensor: wind_speed | fields: unit, level, ts, type
Task: Get depth from temperature where unit appears in wind_speed readings with matching qc.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=set_member(
field="unit",
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_016387 | train |
v3 | Sensor network script:
Node: rainfall | code: thr | fields: type, reading, level, depth
Sensor: pressure | fields: lon, ts, type, unit
Task: Get reading from rainfall where depth exceeds the minimum reading from pressure for the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("pressure", code="mbl"),
match="ts"),
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016388 | train |
v1 | Sensor network script:
Node: wind_speed | code: hub | fields: lat, ts, value, reading
Sensor: evaporation | fields: level, depth, qc, lon
Task: Fetch depth from wind_speed where qc exists in evaporation sensor data for the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="type",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016389 | train |
v2 | Sensor network script:
Node: air_quality | code: clr | fields: level, lat, qc, unit
Sensor: snow_depth | fields: qc, lon, value, depth
Task: Get lat from air_quality where a corresponding entry exists in snow_depth with the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="clr"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "snow_depth",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016390 | train |
v3 | Sensor network script:
Node: wind_speed | code: mst | fields: lat, level, depth, unit
Sensor: uv_index | fields: type, depth, value, unit
Task: Retrieve level from wind_speed with value above the SUM(depth) of uv_index readings sharing the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("uv_index", code="flx"),
match="ts"),
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016391 | train |
v1 | Sensor network script:
Node: evaporation | code: gst | fields: value, lon, qc, ts
Sensor: turbidity | fields: reading, value, depth, qc
Task: Get lon from evaporation where qc appears in turbidity readings with matching depth.
Script: | readings = fetch(
node=Node("evaporation", code="gst"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016392 | train |
v1 | Sensor network script:
Node: turbidity | code: mst | fields: level, value, reading, qc
Sensor: pressure | fields: qc, lon, reading, lat
Task: Get lon from turbidity where type appears in pressure readings with matching qc.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=set_member(
field="type",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016393 | train |
v3 | Sensor network script:
Node: lightning | code: stn | fields: reading, lon, qc, depth
Sensor: pressure | fields: depth, unit, value, level
Task: Fetch level from lightning where value is greater than the average of value in pressure for matching ts.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("pressure", code="mbl"),
match="ts"),
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "pressure",
"outer_alias": "stn",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016394 | train |
v3 | Sensor network script:
Node: air_quality | code: stn | fields: type, value, ts, level
Sensor: turbidity | fields: type, level, unit, qc
Task: Get level from air_quality where depth exceeds the total depth from turbidity for the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("turbidity", code="ftu"),
match="depth"),
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "stn",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016395 | train |
v3 | Sensor network script:
Node: lightning | code: thr | fields: type, unit, qc, lon
Sensor: dew_point | fields: reading, unit, lon, lat
Task: Retrieve value from lightning with reading above the AVG(value) of dew_point readings sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016396 | train |
v3 | Sensor network script:
Node: evaporation | code: ref | fields: ts, unit, depth, lat
Sensor: cloud_cover | fields: reading, depth, level, lat
Task: Get lat from evaporation where depth exceeds the total value from cloud_cover for the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016397 | train |
v3 | Sensor network script:
Node: lightning | code: prt | fields: ts, qc, type, value
Sensor: pressure | fields: ts, unit, qc, depth
Task: Fetch depth from lightning where depth is greater than the maximum of reading in pressure for matching unit.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "reading",
source=Probe("pressure", code="mbl"),
match="unit"),
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016398 | train |
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: value, qc, unit, depth
Sensor: dew_point | fields: lat, ts, reading, level
Task: Fetch value from snow_depth where ts exists in dew_point sensor data for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="ts",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "value",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_016399 | train |
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