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: rainfall | code: gst | fields: ts, unit, type, level
Sensor: temperature | fields: type, lat, lon, ts
Task: Get depth from rainfall where a corresponding entry exists in temperature with the same type.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="type",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015100 | train |
v1 | Sensor network script:
Node: temperature | code: prt | fields: value, qc, lon, unit
Sensor: lightning | fields: value, lon, unit, lat
Task: Fetch reading from temperature where qc exists in lightning sensor data for the same type.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="type",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015101 | train |
v3 | Sensor network script:
Node: uv_index | code: ref | fields: type, lon, unit, value
Sensor: turbidity | fields: depth, value, lon, type
Task: Fetch level from uv_index where reading is greater than the average of reading in turbidity for matching depth.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("turbidity", code="ftu"),
match="depth"),
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015102 | train |
v3 | Sensor network script:
Node: soil_moisture | code: mst | fields: level, reading, depth, type
Sensor: drought_index | fields: value, type, ts, unit
Task: Retrieve depth from soil_moisture with depth above the COUNT(depth) of drought_index readings sharing the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("drought_index", code="drt"),
match="depth"),
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "drt",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015103 | train |
v1 | Sensor network script:
Node: pressure | code: hub | fields: depth, lon, level, reading
Sensor: air_quality | fields: reading, level, lon, depth
Task: Fetch level from pressure where depth exists in air_quality sensor data for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="hub"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015104 | train |
v1 | Sensor network script:
Node: air_quality | code: mst | fields: level, value, qc, reading
Sensor: pressure | fields: reading, lat, level, qc
Task: Fetch lon from air_quality where depth exists in pressure sensor data for the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=set_member(
field="depth",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015105 | train |
v3 | Sensor network script:
Node: evaporation | code: stn | fields: lat, reading, level, depth
Sensor: humidity | fields: lon, depth, level, reading
Task: Retrieve reading from evaporation with reading above the COUNT(value) of humidity readings sharing the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("humidity", code="hgr"),
match="qc"),
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015106 | train |
v2 | Sensor network script:
Node: cloud_cover | code: stn | fields: lon, type, value, depth
Sensor: humidity | fields: lat, level, qc, value
Task: Retrieve depth from cloud_cover that have at least one matching reading in humidity sharing the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="unit",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015107 | train |
v2 | Sensor network script:
Node: sunlight | code: mst | fields: level, ts, lat, value
Sensor: soil_moisture | fields: level, qc, unit, ts
Task: Retrieve lat from sunlight that have at least one matching reading in soil_moisture sharing the same depth.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="depth",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015108 | train |
v1 | Sensor network script:
Node: rainfall | code: gst | fields: level, type, unit, value
Sensor: visibility | fields: depth, level, ts, lat
Task: Fetch level from rainfall where depth exists in visibility sensor data for the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=set_member(
field="depth",
source=Probe("visibility", code="clr"),
match="unit",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015109 | train |
v1 | Sensor network script:
Node: visibility | code: prt | fields: qc, reading, lon, ts
Sensor: uv_index | fields: level, lon, value, reading
Task: Get lat from visibility where depth appears in uv_index readings with matching ts.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=set_member(
field="depth",
source=Probe("uv_index", code="flx"),
match="ts",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "uv_index",
"outer_alias": "prt",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015110 | train |
v1 | Sensor network script:
Node: rainfall | code: ref | fields: type, unit, level, reading
Sensor: humidity | fields: level, type, depth, value
Task: Fetch depth from rainfall where unit exists in humidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=set_member(
field="unit",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015111 | train |
v1 | Sensor network script:
Node: temperature | code: mst | fields: lat, unit, ts, type
Sensor: frost | fields: ts, lon, level, reading
Task: Retrieve depth from temperature whose unit is found in frost records where ts matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=set_member(
field="unit",
source=Probe("frost", code="frs"),
match="ts",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015112 | train |
v1 | Sensor network script:
Node: rainfall | code: mst | fields: qc, depth, lon, level
Sensor: soil_moisture | fields: ts, depth, lat, value
Task: Get level from rainfall where depth appears in soil_moisture readings with matching ts.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=set_member(
field="depth",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "level",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015113 | train |
v2 | Sensor network script:
Node: drought_index | code: prt | fields: reading, ts, type, value
Sensor: wind_speed | fields: ts, qc, depth, level
Task: Fetch reading from drought_index that have at least one corresponding wind_speed measurement for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015114 | train |
v3 | Sensor network script:
Node: drought_index | code: ref | fields: depth, type, value, level
Sensor: wind_speed | fields: level, type, lat, unit
Task: Get lat from drought_index where reading exceeds the average depth from wind_speed for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("wind_speed", code="gst"),
match="unit"),
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015115 | train |
v2 | Sensor network script:
Node: sunlight | code: stn | fields: qc, ts, level, reading
Sensor: cloud_cover | fields: level, value, ts, lon
Task: Get level from sunlight where a corresponding entry exists in cloud_cover with the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015116 | train |
v1 | Sensor network script:
Node: soil_moisture | code: thr | fields: qc, level, type, unit
Sensor: dew_point | fields: qc, lat, unit, reading
Task: Retrieve depth from soil_moisture whose ts is found in dew_point records where type matches the outer node.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=set_member(
field="ts",
source=Probe("dew_point", code="cnd"),
match="type",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015117 | train |
v3 | Sensor network script:
Node: soil_moisture | code: stn | fields: depth, ts, lat, qc
Sensor: wind_speed | fields: qc, value, ts, unit
Task: Get reading from soil_moisture where reading exceeds the total depth from wind_speed for the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("wind_speed", code="gst"),
match="unit"),
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015118 | train |
v2 | Sensor network script:
Node: air_quality | code: prt | fields: level, type, ts, value
Sensor: pressure | fields: lon, qc, value, type
Task: Fetch depth from air_quality that have at least one corresponding pressure measurement for the same type.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="type",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015119 | train |
v3 | Sensor network script:
Node: temperature | code: stn | fields: value, reading, ts, unit
Sensor: pressure | fields: unit, reading, ts, qc
Task: Fetch reading from temperature where reading is greater than the maximum of depth in pressure for matching qc.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("pressure", code="mbl"),
match="qc"),
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "pressure",
"outer_alias": "stn",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015120 | train |
v2 | Sensor network script:
Node: sunlight | code: ref | fields: ts, depth, lat, qc
Sensor: visibility | fields: lon, unit, ts, level
Task: Fetch depth from sunlight that have at least one corresponding visibility measurement for the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015121 | train |
v3 | Sensor network script:
Node: frost | code: clr | fields: qc, value, lat, reading
Sensor: uv_index | fields: qc, unit, reading, depth
Task: Get level from frost where value exceeds the maximum depth from uv_index for the same depth.
Script: | readings = fetch(
node=Node("frost", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("uv_index", code="flx"),
match="depth"),
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015122 | train |
v3 | Sensor network script:
Node: pressure | code: thr | fields: depth, type, value, level
Sensor: cloud_cover | fields: value, lat, reading, qc
Task: Get value from pressure where value exceeds the count of reading from cloud_cover for the same qc.
Script: | readings = fetch(
node=Node("pressure", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("cloud_cover", code="nbl"),
match="qc"),
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015123 | train |
v3 | Sensor network script:
Node: humidity | code: thr | fields: lat, type, qc, depth
Sensor: evaporation | fields: depth, value, lon, unit
Task: Retrieve lon from humidity with reading above the MAX(value) of evaporation readings sharing the same depth.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("evaporation", code="evp"),
match="depth"),
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "evaporation",
"outer_alias": "thr",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015124 | train |
v2 | Sensor network script:
Node: rainfall | code: prt | fields: value, qc, ts, reading
Sensor: turbidity | fields: type, value, unit, lon
Task: Get reading from rainfall where a corresponding entry exists in turbidity with the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015125 | train |
v1 | Sensor network script:
Node: soil_moisture | code: hub | fields: unit, ts, reading, lon
Sensor: evaporation | fields: lat, level, lon, unit
Task: Fetch lat from soil_moisture where type exists in evaporation sensor data for the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=set_member(
field="type",
source=Probe("evaporation", code="evp"),
match="qc",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015126 | train |
v2 | Sensor network script:
Node: sunlight | code: gst | fields: type, lon, value, level
Sensor: temperature | fields: lat, qc, lon, ts
Task: Retrieve lon from sunlight that have at least one matching reading in temperature sharing the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="qc",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015127 | train |
v3 | Sensor network script:
Node: uv_index | code: prt | fields: value, lon, unit, ts
Sensor: turbidity | fields: qc, reading, depth, level
Task: Fetch lat from uv_index where reading is greater than the count of of value in turbidity for matching depth.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("turbidity", code="ftu"),
match="depth"),
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015128 | train |
v1 | Sensor network script:
Node: dew_point | code: thr | fields: level, depth, qc, type
Sensor: snow_depth | fields: level, lon, unit, value
Task: Fetch lat from dew_point where depth exists in snow_depth sensor data for the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="thr"),
filter=set_member(
field="depth",
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "snow_depth",
"outer_alias": "thr",
"inner_alias": "snw",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015129 | train |
v3 | Sensor network script:
Node: dew_point | code: clr | fields: value, lat, unit, type
Sensor: temperature | fields: qc, lon, depth, type
Task: Fetch lat from dew_point where depth is greater than the minimum of reading in temperature for matching ts.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("temperature", code="thr"),
match="ts"),
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015130 | train |
v2 | Sensor network script:
Node: pressure | code: mst | fields: lat, qc, depth, ts
Sensor: sunlight | fields: level, depth, unit, lon
Task: Fetch lon from pressure that have at least one corresponding sunlight measurement for the same ts.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="ts",
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "sunlight",
"outer_alias": "mst",
"inner_alias": "brt",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015131 | train |
v1 | Sensor network script:
Node: sunlight | code: thr | fields: unit, reading, ts, lon
Sensor: humidity | fields: type, ts, lon, level
Task: Retrieve reading from sunlight whose ts is found in humidity records where ts matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="thr"),
filter=set_member(
field="ts",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015132 | train |
v2 | Sensor network script:
Node: snow_depth | code: ref | fields: value, qc, lat, lon
Sensor: turbidity | fields: lon, value, unit, depth
Task: Retrieve depth from snow_depth that have at least one matching reading in turbidity sharing the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015133 | train |
v3 | Sensor network script:
Node: humidity | code: thr | fields: value, reading, lon, depth
Sensor: uv_index | fields: qc, lon, level, lat
Task: Fetch lat from humidity where depth is greater than the total of reading in uv_index for matching type.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("uv_index", code="flx"),
match="type"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015134 | train |
v2 | Sensor network script:
Node: humidity | code: gst | fields: reading, lon, level, depth
Sensor: evaporation | fields: reading, lon, lat, depth
Task: Get lon from humidity where a corresponding entry exists in evaporation with the same depth.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="depth",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015135 | train |
v3 | Sensor network script:
Node: visibility | code: ref | fields: unit, value, type, ts
Sensor: lightning | fields: ts, qc, type, depth
Task: Get lon from visibility where depth exceeds the total depth from lightning for the same depth.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("lightning", code="tnd"),
match="depth"),
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"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_015136 | train |
v1 | Sensor network script:
Node: pressure | code: stn | fields: depth, value, lon, ts
Sensor: humidity | fields: type, lat, reading, level
Task: Retrieve value from pressure whose depth is found in humidity records where type matches the outer node.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=set_member(
field="depth",
source=Probe("humidity", code="hgr"),
match="type",
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015137 | train |
v1 | Sensor network script:
Node: lightning | code: stn | fields: reading, lon, depth, level
Sensor: humidity | fields: type, qc, ts, depth
Task: Fetch level from lightning where qc exists in humidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=set_member(
field="qc",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015138 | train |
v3 | Sensor network script:
Node: evaporation | code: gst | fields: unit, reading, value, level
Sensor: humidity | fields: type, level, lon, lat
Task: Get value from evaporation where depth exceeds the count of value from humidity for the same type.
Script: | readings = fetch(
node=Node("evaporation", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "value",
source=Probe("humidity", code="hgr"),
match="type"),
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015139 | train |
v2 | Sensor network script:
Node: rainfall | code: mst | fields: qc, level, type, unit
Sensor: soil_moisture | fields: lat, depth, qc, ts
Task: Get value from rainfall where a corresponding entry exists in soil_moisture with the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="depth",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015140 | train |
v1 | Sensor network script:
Node: rainfall | code: mst | fields: qc, lon, level, ts
Sensor: pressure | fields: unit, ts, reading, type
Task: Get reading from rainfall where depth appears in pressure readings with matching qc.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=set_member(
field="depth",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015141 | train |
v3 | Sensor network script:
Node: air_quality | code: gst | fields: qc, type, reading, lat
Sensor: visibility | fields: ts, type, level, lon
Task: Fetch lon from air_quality where reading is greater than the total of reading in visibility for matching ts.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "reading",
source=Probe("visibility", code="clr"),
match="ts"),
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015142 | train |
v2 | Sensor network script:
Node: frost | code: ref | fields: value, qc, lat, type
Sensor: wind_speed | fields: qc, value, level, lat
Task: Retrieve lon from frost that have at least one matching reading in wind_speed sharing the same unit.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015143 | train |
v1 | Sensor network script:
Node: humidity | code: thr | fields: unit, reading, depth, lon
Sensor: dew_point | fields: ts, qc, level, value
Task: Get reading from humidity where unit appears in dew_point readings with matching type.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=set_member(
field="unit",
source=Probe("dew_point", code="cnd"),
match="type",
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015144 | train |
v1 | Sensor network script:
Node: rainfall | code: gst | fields: level, value, qc, lon
Sensor: dew_point | fields: level, reading, lat, unit
Task: Fetch value from rainfall where unit exists in dew_point sensor data for the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=set_member(
field="unit",
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "value",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015145 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: level, type, unit, value
Sensor: temperature | fields: reading, type, level, qc
Task: Get reading from snow_depth where ts appears in temperature readings with matching unit.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="ts",
source=Probe("temperature", code="thr"),
match="unit",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015146 | train |
v2 | Sensor network script:
Node: humidity | code: stn | fields: type, lon, lat, reading
Sensor: cloud_cover | fields: lon, depth, type, ts
Task: Fetch depth from humidity that have at least one corresponding cloud_cover measurement for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="stn"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015147 | train |
v1 | Sensor network script:
Node: uv_index | code: stn | fields: ts, lat, type, value
Sensor: air_quality | fields: level, unit, type, depth
Task: Retrieve value from uv_index whose ts is found in air_quality records where qc matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015148 | train |
v2 | Sensor network script:
Node: dew_point | code: hub | fields: unit, depth, ts, type
Sensor: frost | fields: level, value, lat, unit
Task: Get lon from dew_point where a corresponding entry exists in frost with the same ts.
Script: | readings = fetch(
node=Node("dew_point", code="hub"),
filter=has_match(
source=Probe("frost", code="frs"),
match="ts",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015149 | train |
v3 | Sensor network script:
Node: visibility | code: mst | fields: lat, ts, type, value
Sensor: air_quality | fields: depth, ts, reading, level
Task: Get lat from visibility where reading exceeds the average depth from air_quality for the same depth.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("air_quality", code="prt"),
match="depth"),
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015150 | train |
v3 | Sensor network script:
Node: cloud_cover | code: gst | fields: ts, level, value, qc
Sensor: temperature | fields: value, type, unit, level
Task: Get value from cloud_cover where reading exceeds the count of value from temperature for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("temperature", code="thr"),
match="ts"),
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015151 | train |
v2 | Sensor network script:
Node: snow_depth | code: gst | fields: type, lon, value, lat
Sensor: dew_point | fields: lat, depth, type, reading
Task: Fetch value from snow_depth that have at least one corresponding dew_point measurement for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015152 | train |
v3 | Sensor network script:
Node: air_quality | code: hub | fields: lon, depth, value, type
Sensor: temperature | fields: unit, value, qc, reading
Task: Get depth from air_quality where depth exceeds the maximum depth from temperature for the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "depth",
"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_015153 | train |
v2 | Sensor network script:
Node: frost | code: mst | fields: lon, reading, value, qc
Sensor: soil_moisture | fields: depth, value, lat, lon
Task: Get lat from frost where a corresponding entry exists in soil_moisture with the same unit.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015154 | train |
v3 | Sensor network script:
Node: evaporation | code: clr | fields: unit, level, depth, ts
Sensor: pressure | fields: value, depth, ts, lon
Task: Get reading from evaporation where reading exceeds the total depth from pressure for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("pressure", code="mbl"),
match="depth"),
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "pressure",
"outer_alias": "clr",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015155 | train |
v3 | Sensor network script:
Node: visibility | code: ref | fields: level, unit, lat, reading
Sensor: humidity | fields: type, qc, reading, value
Task: Fetch lat from visibility where value is greater than the average of reading in humidity for matching type.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("humidity", code="hgr"),
match="type"),
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015156 | train |
v1 | Sensor network script:
Node: lightning | code: stn | fields: value, level, lat, qc
Sensor: visibility | fields: lon, depth, ts, value
Task: Get depth from lightning where depth appears in visibility readings with matching unit.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=set_member(
field="depth",
source=Probe("visibility", code="clr"),
match="unit",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015157 | train |
v2 | Sensor network script:
Node: temperature | code: stn | fields: depth, value, lat, ts
Sensor: visibility | fields: depth, qc, unit, value
Task: Get lat from temperature where a corresponding entry exists in visibility with the same unit.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015158 | train |
v1 | Sensor network script:
Node: dew_point | code: ref | fields: type, reading, lat, level
Sensor: sunlight | fields: ts, qc, reading, lon
Task: Get value from dew_point where depth appears in sunlight readings with matching ts.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="ts",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "value",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015159 | train |
v3 | Sensor network script:
Node: soil_moisture | code: ref | fields: value, ts, lat, type
Sensor: air_quality | fields: value, lat, depth, ts
Task: Fetch value from soil_moisture where reading is greater than the total of value in air_quality for matching qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "value",
source=Probe("air_quality", code="prt"),
match="qc"),
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015160 | train |
v1 | Sensor network script:
Node: drought_index | code: hub | fields: lon, level, ts, qc
Sensor: temperature | fields: lon, level, qc, type
Task: Get lon from drought_index where depth appears in temperature readings with matching unit.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=set_member(
field="depth",
source=Probe("temperature", code="thr"),
match="unit",
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015161 | train |
v1 | Sensor network script:
Node: wind_speed | code: gst | fields: type, lat, ts, reading
Sensor: rainfall | fields: depth, ts, qc, unit
Task: Retrieve lon from wind_speed whose ts is found in rainfall records where depth matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=set_member(
field="ts",
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015162 | train |
v1 | Sensor network script:
Node: drought_index | code: ref | fields: unit, qc, type, level
Sensor: turbidity | fields: qc, depth, ts, value
Task: Get level from drought_index where qc appears in turbidity readings with matching unit.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015163 | train |
v2 | Sensor network script:
Node: snow_depth | code: gst | fields: type, level, value, depth
Sensor: turbidity | fields: ts, reading, unit, value
Task: Get lat from snow_depth where a corresponding entry exists in turbidity with the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015164 | train |
v1 | Sensor network script:
Node: cloud_cover | code: thr | fields: ts, qc, value, type
Sensor: wind_speed | fields: reading, lon, value, depth
Task: Retrieve lat from cloud_cover whose ts is found in wind_speed records where ts matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015165 | train |
v2 | Sensor network script:
Node: temperature | code: prt | fields: ts, lon, lat, reading
Sensor: turbidity | fields: ts, type, reading, lat
Task: Retrieve depth from temperature that have at least one matching reading in turbidity sharing the same unit.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015166 | train |
v2 | Sensor network script:
Node: cloud_cover | code: clr | fields: ts, level, depth, value
Sensor: humidity | fields: lat, level, unit, value
Task: Retrieve lat from cloud_cover that have at least one matching reading in humidity sharing the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015167 | train |
v2 | Sensor network script:
Node: soil_moisture | code: clr | fields: lat, reading, level, ts
Sensor: temperature | fields: qc, depth, unit, lon
Task: Fetch reading from soil_moisture that have at least one corresponding temperature measurement for the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="qc",
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015168 | train |
v1 | Sensor network script:
Node: drought_index | code: thr | fields: type, lon, ts, lat
Sensor: lightning | fields: reading, depth, level, value
Task: Fetch level from drought_index where depth exists in lightning sensor data for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015169 | train |
v2 | Sensor network script:
Node: turbidity | code: ref | fields: reading, lat, level, unit
Sensor: wind_speed | fields: ts, level, qc, depth
Task: Get reading from turbidity where a corresponding entry exists in wind_speed with the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015170 | train |
v1 | Sensor network script:
Node: drought_index | code: gst | fields: depth, reading, ts, qc
Sensor: evaporation | fields: ts, qc, unit, value
Task: Fetch lon from drought_index where qc exists in evaporation sensor data for the same type.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="type",
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015171 | train |
v3 | Sensor network script:
Node: drought_index | code: ref | fields: type, reading, ts, level
Sensor: uv_index | fields: ts, lat, unit, level
Task: Fetch level from drought_index where reading is greater than the minimum of reading in uv_index for matching qc.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("uv_index", code="flx"),
match="qc"),
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "uv_index",
"outer_alias": "ref",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015172 | train |
v3 | Sensor network script:
Node: snow_depth | code: mst | fields: type, lat, lon, qc
Sensor: humidity | fields: ts, reading, type, level
Task: Get depth from snow_depth where value exceeds the minimum depth from humidity for the same depth.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015173 | train |
v1 | Sensor network script:
Node: lightning | code: clr | fields: unit, type, depth, lat
Sensor: rainfall | fields: ts, level, qc, unit
Task: Retrieve lat from lightning whose depth is found in rainfall records where depth matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="clr"),
filter=set_member(
field="depth",
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015174 | train |
v1 | Sensor network script:
Node: visibility | code: gst | fields: unit, reading, lon, qc
Sensor: drought_index | fields: lon, ts, unit, qc
Task: Retrieve level from visibility whose qc is found in drought_index records where type matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="drt"),
match="type",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "level",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015175 | train |
v2 | Sensor network script:
Node: snow_depth | code: stn | fields: level, type, lat, ts
Sensor: wind_speed | fields: qc, lat, depth, lon
Task: Get depth from snow_depth where a corresponding entry exists in wind_speed with the same depth.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015176 | train |
v1 | Sensor network script:
Node: humidity | code: ref | fields: depth, value, qc, unit
Sensor: wind_speed | fields: reading, unit, qc, lon
Task: Retrieve reading from humidity whose unit is found in wind_speed records where ts matches the outer node.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=set_member(
field="unit",
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015177 | train |
v1 | Sensor network script:
Node: frost | code: prt | fields: lon, unit, type, level
Sensor: sunlight | fields: lon, ts, level, qc
Task: Get lon from frost where qc appears in sunlight readings with matching depth.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=set_member(
field="qc",
source=Probe("sunlight", code="brt"),
match="depth",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015178 | train |
v2 | Sensor network script:
Node: evaporation | code: ref | fields: unit, lat, reading, level
Sensor: visibility | fields: depth, reading, unit, qc
Task: Fetch level from evaporation that have at least one corresponding visibility measurement for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="depth",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015179 | train |
v1 | Sensor network script:
Node: cloud_cover | code: clr | fields: lat, reading, lon, unit
Sensor: snow_depth | fields: ts, level, qc, unit
Task: Get reading from cloud_cover where ts appears in snow_depth readings with matching depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=set_member(
field="ts",
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "snow_depth",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015180 | train |
v3 | Sensor network script:
Node: lightning | code: clr | fields: ts, value, unit, lon
Sensor: turbidity | fields: value, unit, qc, lat
Task: Fetch level from lightning where reading is greater than the total of reading in turbidity for matching unit.
Script: | readings = fetch(
node=Node("lightning", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "reading",
source=Probe("turbidity", code="ftu"),
match="unit"),
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015181 | train |
v1 | Sensor network script:
Node: wind_speed | code: mst | fields: type, ts, unit, lat
Sensor: lightning | fields: level, unit, qc, lat
Task: Retrieve level from wind_speed whose depth is found in lightning records where qc matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015182 | train |
v2 | Sensor network script:
Node: air_quality | code: thr | fields: depth, qc, value, level
Sensor: visibility | fields: lon, qc, value, lat
Task: Get depth from air_quality where a corresponding entry exists in visibility with the same qc.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="qc",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015183 | train |
v2 | Sensor network script:
Node: sunlight | code: hub | fields: qc, level, ts, lon
Sensor: humidity | fields: ts, reading, value, depth
Task: Fetch lat from sunlight that have at least one corresponding humidity measurement for the same type.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="type",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "humidity",
"outer_alias": "hub",
"inner_alias": "hgr",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015184 | train |
v2 | Sensor network script:
Node: snow_depth | code: ref | fields: unit, lon, type, qc
Sensor: air_quality | fields: lon, ts, depth, type
Task: Get reading from snow_depth where a corresponding entry exists in air_quality with the same depth.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="depth",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015185 | train |
v3 | Sensor network script:
Node: uv_index | code: hub | fields: reading, depth, unit, ts
Sensor: temperature | fields: unit, type, ts, depth
Task: Retrieve reading from uv_index with reading above the SUM(reading) of temperature readings sharing the same qc.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "reading",
source=Probe("temperature", code="thr"),
match="qc"),
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015186 | train |
v2 | Sensor network script:
Node: uv_index | code: gst | fields: type, qc, lon, ts
Sensor: cloud_cover | fields: lon, depth, value, type
Task: Retrieve lon from uv_index that have at least one matching reading in cloud_cover sharing the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="gst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015187 | train |
v2 | Sensor network script:
Node: rainfall | code: stn | fields: lon, ts, type, value
Sensor: snow_depth | fields: unit, type, qc, lat
Task: Fetch depth from rainfall that have at least one corresponding snow_depth measurement for the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="stn"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015188 | train |
v1 | Sensor network script:
Node: lightning | code: prt | fields: depth, level, qc, unit
Sensor: wind_speed | fields: qc, reading, level, lat
Task: Fetch depth from lightning where depth exists in wind_speed sensor data for the same ts.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=set_member(
field="depth",
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015189 | train |
v2 | Sensor network script:
Node: lightning | code: mst | fields: lon, qc, unit, reading
Sensor: air_quality | fields: depth, reading, lat, unit
Task: Retrieve value from lightning that have at least one matching reading in air_quality sharing the same unit.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015190 | train |
v1 | Sensor network script:
Node: sunlight | code: stn | fields: ts, reading, value, lat
Sensor: lightning | fields: unit, lat, reading, type
Task: Retrieve reading from sunlight whose ts is found in lightning records where depth matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=set_member(
field="ts",
source=Probe("lightning", code="tnd"),
match="depth",
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015191 | train |
v2 | Sensor network script:
Node: wind_speed | code: stn | fields: ts, depth, unit, type
Sensor: dew_point | fields: depth, reading, ts, qc
Task: Fetch lon from wind_speed that have at least one corresponding dew_point measurement for the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="type",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015192 | train |
v1 | Sensor network script:
Node: cloud_cover | code: prt | fields: type, reading, ts, level
Sensor: drought_index | fields: lat, type, level, qc
Task: Fetch reading from cloud_cover where ts exists in drought_index sensor data for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=set_member(
field="ts",
source=Probe("drought_index", code="drt"),
match="qc",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015193 | train |
v3 | Sensor network script:
Node: turbidity | code: ref | fields: lat, value, reading, type
Sensor: rainfall | fields: level, lon, value, unit
Task: Fetch level from turbidity where depth is greater than the total of value in rainfall for matching unit.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("rainfall", code="rnfl"),
match="unit"),
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015194 | train |
v1 | Sensor network script:
Node: lightning | code: hub | fields: type, reading, lat, ts
Sensor: visibility | fields: depth, reading, unit, type
Task: Get level from lightning where depth appears in visibility readings with matching ts.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=set_member(
field="depth",
source=Probe("visibility", code="clr"),
match="ts",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015195 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: lat, qc, unit, reading
Sensor: air_quality | fields: qc, value, unit, ts
Task: Retrieve depth from snow_depth whose unit is found in air_quality records where ts matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015196 | train |
v3 | Sensor network script:
Node: lightning | code: mst | fields: level, qc, unit, lat
Sensor: soil_moisture | fields: level, ts, type, value
Task: Retrieve depth from lightning with reading above the COUNT(reading) of soil_moisture readings sharing the same depth.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "reading",
source=Probe("soil_moisture", code="grvl"),
match="depth"),
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015197 | train |
v2 | Sensor network script:
Node: soil_moisture | code: clr | fields: unit, lon, value, ts
Sensor: wind_speed | fields: unit, depth, lat, type
Task: Fetch level from soil_moisture that have at least one corresponding wind_speed measurement for the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="type",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_015198 | train |
v1 | Sensor network script:
Node: turbidity | code: gst | fields: reading, level, unit, lon
Sensor: rainfall | fields: qc, unit, ts, level
Task: Fetch lat from turbidity where qc exists in rainfall sensor data for the same type.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_015199 | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.