rel-f1: YAML manifests + descriptions + schema card
Browse files- rel-f1/README.md +87 -15
- rel-f1/manifest.json +0 -72
- rel-f1/manifest.yaml +55 -0
- rel-f1/tasks/driver-circuit-compete/manifest.json +0 -20
- rel-f1/tasks/driver-circuit-compete/manifest.yaml +30 -0
- rel-f1/tasks/driver-dnf/manifest.json +0 -19
- rel-f1/tasks/driver-dnf/manifest.yaml +30 -0
- rel-f1/tasks/driver-position/manifest.json +0 -18
- rel-f1/tasks/driver-position/manifest.yaml +30 -0
- rel-f1/tasks/driver-top3/manifest.json +0 -19
- rel-f1/tasks/driver-top3/manifest.yaml +32 -0
- rel-f1/tasks/qualifying-position/manifest.json +0 -8
- rel-f1/tasks/qualifying-position/manifest.yaml +7 -0
- rel-f1/tasks/results-position/manifest.json +0 -38
- rel-f1/tasks/results-position/manifest.yaml +22 -0
rel-f1/README.md
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license: cc-by-sa-4.0
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tags:
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- relbench
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- relational-deep-learning
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---
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self-describing manifest layout: plain parquet + `manifest.json`.
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# rel-f1
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Formula 1 motorsport database: races, drivers, constructors, circuits, race results, qualifying, and championship standings.
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## Schema
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```mermaid
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erDiagram
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races {
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key raceId PK
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key circuitId FK
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datetime date
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}
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qualifying {
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key qualifyId PK
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key raceId FK
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key driverId FK
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key constructorId FK
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datetime date
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}
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constructor_standings {
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key constructorStandingsId PK
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key raceId FK
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key constructorId FK
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datetime date
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}
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standings {
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key driverStandingsId PK
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key raceId FK
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key driverId FK
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datetime date
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}
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constructors {
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key constructorId PK
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}
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drivers {
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key driverId PK
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}
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constructor_results {
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key constructorResultsId PK
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key raceId FK
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key constructorId FK
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datetime date
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}
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circuits {
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key circuitId PK
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}
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results {
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key resultId PK
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key raceId FK
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key driverId FK
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key constructorId FK
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datetime date
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}
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races }o--|| circuits : circuitId
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qualifying }o--|| races : raceId
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qualifying }o--|| drivers : driverId
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qualifying }o--|| constructors : constructorId
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constructor_standings }o--|| races : raceId
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constructor_standings }o--|| constructors : constructorId
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standings }o--|| races : raceId
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standings }o--|| drivers : driverId
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constructor_results }o--|| races : raceId
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constructor_results }o--|| constructors : constructorId
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results }o--|| races : raceId
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results }o--|| drivers : driverId
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results }o--|| constructors : constructorId
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```
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Splits: validation `2005-01-01`, test `2010-01-01` (rows up to a split's timestamp are the inputs for that split).
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## Tasks
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| task | kind | type | description |
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|---|---|---|---|
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| `driver-circuit-compete` | forecast | link_prediction | Predict on which circuits a driver will compete in the next 1 year. |
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| `driver-dnf` | forecast | binary_classification | Predict the if each driver will DNF (not finish) a race in the next 1 month. |
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| `driver-position` | forecast | regression | Predict the average finishing position of each driver all races in the next 2 months. |
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| `driver-top3` | forecast | binary_classification | Predict if each driver will qualify in the top-3 for a race within the next 1 month. |
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| `qualifying-position` | autocomplete | regression | Predict the `position` column of the `qualifying` table. |
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| `results-position` | autocomplete | regression | Predict the `position` column of the `results` table. |
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## Loading
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```python
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import relbench
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ds = relbench.load_dataset("rel-f1")
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task = relbench.load_task("rel-f1", "<task>")
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```
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Manifest layout (`manifest.yaml` + plain parquet); see the RelBench [CONTRIBUTING guide](https://github.com/snap-stanford/relbench/blob/main/CONTRIBUTING.md).
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rel-f1/manifest.json
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{
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"name": "rel-f1",
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"manifest_version": 1,
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"val_timestamp": "2005-01-01",
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"test_timestamp": "2010-01-01",
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"tables": {
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"races": {
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"pkey": "raceId",
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"time_col": "date",
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"fkeys": {
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"circuitId": "circuits"
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}
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},
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"qualifying": {
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"pkey": "qualifyId",
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"time_col": "date",
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"fkeys": {
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"raceId": "races",
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"driverId": "drivers",
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"constructorId": "constructors"
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}
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},
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"constructor_standings": {
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"pkey": "constructorStandingsId",
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"time_col": "date",
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"fkeys": {
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"raceId": "races",
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"constructorId": "constructors"
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}
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},
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"standings": {
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"pkey": "driverStandingsId",
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"time_col": "date",
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"fkeys": {
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"raceId": "races",
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"driverId": "drivers"
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}
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},
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"constructors": {
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"pkey": "constructorId",
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"time_col": null,
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"fkeys": {}
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},
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"drivers": {
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"pkey": "driverId",
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"time_col": null,
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"fkeys": {}
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},
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"constructor_results": {
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"pkey": "constructorResultsId",
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"time_col": "date",
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"fkeys": {
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"raceId": "races",
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"constructorId": "constructors"
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}
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},
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"circuits": {
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"pkey": "circuitId",
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"time_col": null,
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"fkeys": {}
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},
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"results": {
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"pkey": "resultId",
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"time_col": "date",
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"fkeys": {
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"raceId": "races",
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"driverId": "drivers",
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"constructorId": "constructors"
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}
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}
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}
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}
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rel-f1/manifest.yaml
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name: rel-f1
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manifest_version: 1
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description: 'Formula 1 motorsport database: races, drivers, constructors, circuits, race results, qualifying, and championship standings.'
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val_timestamp: '2005-01-01'
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test_timestamp: '2010-01-01'
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tables:
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races:
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pkey: raceId
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time_col: date
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fkeys:
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circuitId: circuits
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qualifying:
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pkey: qualifyId
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time_col: date
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fkeys:
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raceId: races
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driverId: drivers
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constructorId: constructors
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constructor_standings:
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pkey: constructorStandingsId
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time_col: date
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fkeys:
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raceId: races
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constructorId: constructors
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standings:
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pkey: driverStandingsId
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time_col: date
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fkeys:
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raceId: races
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driverId: drivers
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constructors:
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pkey: constructorId
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time_col: null
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fkeys: {}
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drivers:
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pkey: driverId
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time_col: null
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fkeys: {}
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constructor_results:
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pkey: constructorResultsId
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time_col: date
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fkeys:
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raceId: races
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constructorId: constructors
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circuits:
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pkey: circuitId
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time_col: null
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fkeys: {}
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results:
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pkey: resultId
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time_col: date
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fkeys:
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raceId: races
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driverId: drivers
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constructorId: constructors
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rel-f1/tasks/driver-circuit-compete/manifest.json
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{
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"name": "driver-circuit-compete",
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"kind": "forecast",
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"task_type": "link_prediction",
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"target_col": "circuitId",
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"time_col": "date",
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"src_entity_table": "drivers",
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"src_entity_col": "driverId",
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"dst_entity_table": "circuits",
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"dst_entity_col": "circuitId",
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"eval_k": 10,
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"timedelta": "365 days",
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"metrics": [
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"link_prediction_precision",
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"link_prediction_recall",
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"link_prediction_map"
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],
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"sql": "SELECT\n t.timestamp as date,\n re.driverId as driverId,\n LIST(DISTINCT race.circuitId) as circuitId\nFROM\n timestamps t\nLEFT JOIN\n races race\nON\n race.date <= t.timestamp + INTERVAL '{timedelta}'\n and race.date > t.timestamp\nLEFT JOIN\n results re\nON\n re.raceId = race.raceId\nGROUP BY t.timestamp, re.driverId",
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"manifest_version": 1
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}
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rel-f1/tasks/driver-circuit-compete/manifest.yaml
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name: driver-circuit-compete
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kind: forecast
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task_type: link_prediction
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description: Predict on which circuits a driver will compete in the next 1 year.
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target_col: circuitId
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time_col: date
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src_entity_table: drivers
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src_entity_col: driverId
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dst_entity_table: circuits
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dst_entity_col: circuitId
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eval_k: 10
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timedelta: 365 days
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sql: |-
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SELECT
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t.timestamp as date,
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re.driverId as driverId,
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LIST(DISTINCT race.circuitId) as circuitId
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FROM
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timestamps t
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+
LEFT JOIN
|
| 21 |
+
races race
|
| 22 |
+
ON
|
| 23 |
+
race.date <= t.timestamp + INTERVAL '{timedelta}'
|
| 24 |
+
and race.date > t.timestamp
|
| 25 |
+
LEFT JOIN
|
| 26 |
+
results re
|
| 27 |
+
ON
|
| 28 |
+
re.raceId = race.raceId
|
| 29 |
+
GROUP BY t.timestamp, re.driverId
|
| 30 |
+
manifest_version: 1
|
rel-f1/tasks/driver-dnf/manifest.json
DELETED
|
@@ -1,19 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"name": "driver-dnf",
|
| 3 |
-
"kind": "forecast",
|
| 4 |
-
"task_type": "binary_classification",
|
| 5 |
-
"entity_table": "drivers",
|
| 6 |
-
"entity_col": "driverId",
|
| 7 |
-
"target_col": "did_not_finish",
|
| 8 |
-
"time_col": "date",
|
| 9 |
-
"timedelta": "30 days",
|
| 10 |
-
"metrics": [
|
| 11 |
-
"average_precision",
|
| 12 |
-
"accuracy",
|
| 13 |
-
"f1",
|
| 14 |
-
"roc_auc"
|
| 15 |
-
],
|
| 16 |
-
"sql": "SELECT\n t.timestamp as date,\n re.driverId as driverId,\n MAX(CASE WHEN re.statusId != 1 THEN 1 ELSE 0 END) AS did_not_finish\nFROM\n timestamps t\nLEFT JOIN\n results re\nON\n re.date <= t.timestamp + INTERVAL '{timedelta}'\n and re.date > t.timestamp\nWHERE\n re.driverId IN (\n SELECT DISTINCT driverId\n FROM results\n WHERE date > t.timestamp - INTERVAL '1 year'\n )\nGROUP BY t.timestamp, re.driverId",
|
| 17 |
-
"num_eval_timestamps": 40,
|
| 18 |
-
"manifest_version": 1
|
| 19 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
rel-f1/tasks/driver-dnf/manifest.yaml
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: driver-dnf
|
| 2 |
+
kind: forecast
|
| 3 |
+
task_type: binary_classification
|
| 4 |
+
description: Predict the if each driver will DNF (not finish) a race in the next 1 month.
|
| 5 |
+
entity_table: drivers
|
| 6 |
+
entity_col: driverId
|
| 7 |
+
target_col: did_not_finish
|
| 8 |
+
time_col: date
|
| 9 |
+
timedelta: 30 days
|
| 10 |
+
num_eval_timestamps: 40
|
| 11 |
+
sql: |-
|
| 12 |
+
SELECT
|
| 13 |
+
t.timestamp as date,
|
| 14 |
+
re.driverId as driverId,
|
| 15 |
+
MAX(CASE WHEN re.statusId != 1 THEN 1 ELSE 0 END) AS did_not_finish
|
| 16 |
+
FROM
|
| 17 |
+
timestamps t
|
| 18 |
+
LEFT JOIN
|
| 19 |
+
results re
|
| 20 |
+
ON
|
| 21 |
+
re.date <= t.timestamp + INTERVAL '{timedelta}'
|
| 22 |
+
and re.date > t.timestamp
|
| 23 |
+
WHERE
|
| 24 |
+
re.driverId IN (
|
| 25 |
+
SELECT DISTINCT driverId
|
| 26 |
+
FROM results
|
| 27 |
+
WHERE date > t.timestamp - INTERVAL '1 year'
|
| 28 |
+
)
|
| 29 |
+
GROUP BY t.timestamp, re.driverId
|
| 30 |
+
manifest_version: 1
|
rel-f1/tasks/driver-position/manifest.json
DELETED
|
@@ -1,18 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"name": "driver-position",
|
| 3 |
-
"kind": "forecast",
|
| 4 |
-
"task_type": "regression",
|
| 5 |
-
"entity_table": "drivers",
|
| 6 |
-
"entity_col": "driverId",
|
| 7 |
-
"target_col": "position",
|
| 8 |
-
"time_col": "date",
|
| 9 |
-
"timedelta": "60 days",
|
| 10 |
-
"metrics": [
|
| 11 |
-
"r2",
|
| 12 |
-
"mae",
|
| 13 |
-
"rmse"
|
| 14 |
-
],
|
| 15 |
-
"sql": "SELECT\n t.timestamp as date,\n re.driverId as driverId,\n mean(re.positionOrder) as position,\nFROM\n timestamps t\nLEFT JOIN\n results re\nON\n re.date <= t.timestamp + INTERVAL '{timedelta}'\n and re.date > t.timestamp\nWHERE\n re.driverId IN (\n SELECT DISTINCT driverId\n FROM results\n WHERE date > t.timestamp - INTERVAL '1 year'\n )\nGROUP BY t.timestamp, re.driverId",
|
| 16 |
-
"num_eval_timestamps": 40,
|
| 17 |
-
"manifest_version": 1
|
| 18 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
rel-f1/tasks/driver-position/manifest.yaml
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: driver-position
|
| 2 |
+
kind: forecast
|
| 3 |
+
task_type: regression
|
| 4 |
+
description: Predict the average finishing position of each driver all races in the next 2 months.
|
| 5 |
+
entity_table: drivers
|
| 6 |
+
entity_col: driverId
|
| 7 |
+
target_col: position
|
| 8 |
+
time_col: date
|
| 9 |
+
timedelta: 60 days
|
| 10 |
+
num_eval_timestamps: 40
|
| 11 |
+
sql: |-
|
| 12 |
+
SELECT
|
| 13 |
+
t.timestamp as date,
|
| 14 |
+
re.driverId as driverId,
|
| 15 |
+
mean(re.positionOrder) as position,
|
| 16 |
+
FROM
|
| 17 |
+
timestamps t
|
| 18 |
+
LEFT JOIN
|
| 19 |
+
results re
|
| 20 |
+
ON
|
| 21 |
+
re.date <= t.timestamp + INTERVAL '{timedelta}'
|
| 22 |
+
and re.date > t.timestamp
|
| 23 |
+
WHERE
|
| 24 |
+
re.driverId IN (
|
| 25 |
+
SELECT DISTINCT driverId
|
| 26 |
+
FROM results
|
| 27 |
+
WHERE date > t.timestamp - INTERVAL '1 year'
|
| 28 |
+
)
|
| 29 |
+
GROUP BY t.timestamp, re.driverId
|
| 30 |
+
manifest_version: 1
|
rel-f1/tasks/driver-top3/manifest.json
DELETED
|
@@ -1,19 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"name": "driver-top3",
|
| 3 |
-
"kind": "forecast",
|
| 4 |
-
"task_type": "binary_classification",
|
| 5 |
-
"entity_table": "drivers",
|
| 6 |
-
"entity_col": "driverId",
|
| 7 |
-
"target_col": "qualifying",
|
| 8 |
-
"time_col": "date",
|
| 9 |
-
"timedelta": "30 days",
|
| 10 |
-
"metrics": [
|
| 11 |
-
"average_precision",
|
| 12 |
-
"accuracy",
|
| 13 |
-
"f1",
|
| 14 |
-
"roc_auc"
|
| 15 |
-
],
|
| 16 |
-
"sql": "SELECT\n t.timestamp as date,\n qu.driverId as driverId,\n CAST(\n CASE WHEN MIN(qu.position) <= 3 THEN 1 ELSE 0 END AS BIGINT\n ) AS qualifying\nFROM\n timestamps t\nLEFT JOIN\n qualifying qu\nON\n qu.date <= t.timestamp + INTERVAL '{timedelta}'\n and qu.date > t.timestamp\nWHERE\n qu.driverId IN (\n SELECT DISTINCT driverId\n FROM qualifying\n WHERE date > t.timestamp - INTERVAL '1 year'\n )\nGROUP BY t.timestamp, qu.driverId",
|
| 17 |
-
"num_eval_timestamps": 40,
|
| 18 |
-
"manifest_version": 1
|
| 19 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
rel-f1/tasks/driver-top3/manifest.yaml
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: driver-top3
|
| 2 |
+
kind: forecast
|
| 3 |
+
task_type: binary_classification
|
| 4 |
+
description: Predict if each driver will qualify in the top-3 for a race within the next 1 month.
|
| 5 |
+
entity_table: drivers
|
| 6 |
+
entity_col: driverId
|
| 7 |
+
target_col: qualifying
|
| 8 |
+
time_col: date
|
| 9 |
+
timedelta: 30 days
|
| 10 |
+
num_eval_timestamps: 40
|
| 11 |
+
sql: |-
|
| 12 |
+
SELECT
|
| 13 |
+
t.timestamp as date,
|
| 14 |
+
qu.driverId as driverId,
|
| 15 |
+
CAST(
|
| 16 |
+
CASE WHEN MIN(qu.position) <= 3 THEN 1 ELSE 0 END AS BIGINT
|
| 17 |
+
) AS qualifying
|
| 18 |
+
FROM
|
| 19 |
+
timestamps t
|
| 20 |
+
LEFT JOIN
|
| 21 |
+
qualifying qu
|
| 22 |
+
ON
|
| 23 |
+
qu.date <= t.timestamp + INTERVAL '{timedelta}'
|
| 24 |
+
and qu.date > t.timestamp
|
| 25 |
+
WHERE
|
| 26 |
+
qu.driverId IN (
|
| 27 |
+
SELECT DISTINCT driverId
|
| 28 |
+
FROM qualifying
|
| 29 |
+
WHERE date > t.timestamp - INTERVAL '1 year'
|
| 30 |
+
)
|
| 31 |
+
GROUP BY t.timestamp, qu.driverId
|
| 32 |
+
manifest_version: 1
|
rel-f1/tasks/qualifying-position/manifest.json
DELETED
|
@@ -1,8 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"name": "qualifying-position",
|
| 3 |
-
"kind": "autocomplete",
|
| 4 |
-
"task_type": "regression",
|
| 5 |
-
"entity_table": "qualifying",
|
| 6 |
-
"target_col": "position",
|
| 7 |
-
"manifest_version": 1
|
| 8 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
rel-f1/tasks/qualifying-position/manifest.yaml
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: qualifying-position
|
| 2 |
+
kind: autocomplete
|
| 3 |
+
task_type: regression
|
| 4 |
+
description: Predict the `position` column of the `qualifying` table.
|
| 5 |
+
entity_table: qualifying
|
| 6 |
+
target_col: position
|
| 7 |
+
manifest_version: 1
|
rel-f1/tasks/results-position/manifest.json
DELETED
|
@@ -1,38 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"name": "results-position",
|
| 3 |
-
"kind": "autocomplete",
|
| 4 |
-
"task_type": "regression",
|
| 5 |
-
"entity_table": "results",
|
| 6 |
-
"target_col": "position",
|
| 7 |
-
"remove_columns": [
|
| 8 |
-
[
|
| 9 |
-
"results",
|
| 10 |
-
"statusId"
|
| 11 |
-
],
|
| 12 |
-
[
|
| 13 |
-
"results",
|
| 14 |
-
"positionOrder"
|
| 15 |
-
],
|
| 16 |
-
[
|
| 17 |
-
"results",
|
| 18 |
-
"points"
|
| 19 |
-
],
|
| 20 |
-
[
|
| 21 |
-
"results",
|
| 22 |
-
"laps"
|
| 23 |
-
],
|
| 24 |
-
[
|
| 25 |
-
"results",
|
| 26 |
-
"milliseconds"
|
| 27 |
-
],
|
| 28 |
-
[
|
| 29 |
-
"results",
|
| 30 |
-
"fastestLap"
|
| 31 |
-
],
|
| 32 |
-
[
|
| 33 |
-
"results",
|
| 34 |
-
"rank"
|
| 35 |
-
]
|
| 36 |
-
],
|
| 37 |
-
"manifest_version": 1
|
| 38 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
rel-f1/tasks/results-position/manifest.yaml
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: results-position
|
| 2 |
+
kind: autocomplete
|
| 3 |
+
task_type: regression
|
| 4 |
+
description: Predict the `position` column of the `results` table.
|
| 5 |
+
entity_table: results
|
| 6 |
+
target_col: position
|
| 7 |
+
remove_columns:
|
| 8 |
+
- - results
|
| 9 |
+
- statusId
|
| 10 |
+
- - results
|
| 11 |
+
- positionOrder
|
| 12 |
+
- - results
|
| 13 |
+
- points
|
| 14 |
+
- - results
|
| 15 |
+
- laps
|
| 16 |
+
- - results
|
| 17 |
+
- milliseconds
|
| 18 |
+
- - results
|
| 19 |
+
- fastestLap
|
| 20 |
+
- - results
|
| 21 |
+
- rank
|
| 22 |
+
manifest_version: 1
|