| --- |
| pretty_name: Formula 1 Research Archive, 2014–2025 |
| language: |
| - en |
| tags: |
| - formula-1 |
| - motorsport |
| - tabular |
| - time-series |
| - parquet |
| --- |
| |
| # Formula 1 research archive, 2014–2025 |
|
|
| A versioned assembly of historical Formula 1 data from Jolpica and FastF1, |
| collected September 10–11, 2026. This is an independent research archive, not an |
| official Formula 1 product. The files preserve broad inputs before modeling or |
| lap filtering. Collection and analysis code are maintained in a separate private |
| team repository. |
|
|
| ## Downloads |
|
|
| - **analysis.tar.gz**: Parquet tables, session metadata, original collection |
| receipts, coverage reports, and Italy 2018 recovery evidence. |
| - **reproduction.tar.gz**: raw source responses, FastF1 caches, and historical |
| collection status. Add this to the analysis archive for the full archive. |
| - **manifest.json**: SHA-256 checksums, byte sizes, file counts, collection coverage, |
| and the packaging source commit. |
|
|
| Each archive extracts directly into a data root: `tables/`, `receipts/`, etc. |
| Use a specific repository commit as the revision for reproducible downloads. |
| No account is required to download. Archives preserve heterogeneous table schemas; |
| they are not a single Hugging Face `load_dataset()` table, and the dataset viewer |
| is not configured. |
|
|
| ```sh |
| uv tool install huggingface-hub |
| hf download AndreyKopanev/f1-data-mining analysis.tar.gz manifest.json \ |
| --repo-type dataset --revision COMMIT_SHA --local-dir download |
| ``` |
|
|
| Verify the archive SHA-256 against `manifest.json` before extracting into a new |
| empty directory. The private team's `f1-data download` command automates pinned |
| downloads, checksum checks, and safe extraction. The manifest's code commit |
| identifies the packaging implementation, not the original collector launch. |
|
|
| ## Sources and coverage |
|
|
| - [Jolpica](https://github.com/jolpica/jolpica-f1): 2014–2025 calendars, circuit |
| information, drivers, constructors, race and qualifying results, sprints, |
| pit stops, and 2014–2017 race laps. |
| - [FastF1](https://github.com/theOehrly/Fast-F1), version 3.8.3: 2018–2025 practice, |
| qualifying, sprint and race sessions, including lap/sector timing, tyres, |
| weather, results, track/session status, and race-control messages. |
|
|
| 858 running sessions are collected; five source-confirmed cancellations account |
| for all 863 scheduled sessions in the detailed period. See `coverage.json` and |
| `coverage.md`. The full uncompressed archive is approximately 3.9 GiB; most of it |
| is raw responses and caches. High-frequency car/position telemetry, preseason |
| testing and the incomplete 2026 season are excluded. |
|
|
| ## Organization and interpretation |
|
|
| `tables/jolpica/season=YYYY/` contains flattened Parquet tables; nested source |
| fields use dotted column names. `tables/fastf1/season=YYYY/round=RR/session_name/` |
| contains separate table families plus session metadata. Use season and round for |
| event joins, retain source driver IDs, and treat driver numbers as session-scoped. |
| Do not concatenate unrelated table families or count their combined rows as |
| independent observations. |
|
|
| Lap tables retain invalid/deleted/interrupted/pit laps and quality flags. |
| Classifications may reflect later penalties; they are not point-in-time forecasts. |
| FastF1 reconstructs some values and uses sources including Jolpica, so the two |
| sources are not independent. Timing durations are usually relative to the timing |
| stream origin, not necessarily the scheduled session start. |
|
|
| Italy 2018 race recovery leaves Ricciardo tyre fields missing and marks |
| `TyreDataUncertain=True`; it does not invent tyre histories. Fuel loads, setup, |
| damage, upgrades and actual tyre condition cannot be reconstructed here. |
|
|
| Original receipts retain collector-machine paths for provenance. Their `tables/` |
| suffix identifies the corresponding output in a downloaded archive. Archived |
| worker status describes the old collection, not a current process. |
|
|
| ## Attribution and caches |
|
|
| Underlying data rights remain with the respective sources and rights holders; |
| no new permissive license is asserted over the assembled source data. The source |
| software licenses do not themselves license all upstream data. |
|
|
| The optional FastF1 caches contain Python pickles. Only load caches from a trusted |
| publisher after verification. Ordinary analysis can read the Parquet files without |
| loading these caches. |
|
|
