Merge branch 'main' of https://huggingface.co/datasets/Benj-samurai/strava_dataset
Browse files
README.md
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# Strava Master & Weekly Summary Dataset
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Personal Strava export processed on **2025-05-04**
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Provides per-activity master table and weekly aggregations with intensity metrics.
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---
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## Files
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| File | Rows | Description |
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|------|------|-------------|
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| `strava_master_enhanced.parquet` | ~N | 1 row = 1 activity, cleaned & enriched |
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| `weekly_sport.parquet` | ~N | Weekly totals by sport (Run/Ride/Swim …) |
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| `weekly_category.parquet` | ~N | Weekly totals by intensity zone |
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*(rows will auto-update, no needに手入力可か削除でもOK)*
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---
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## Column definitions (master)
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| Column | `dtype` | Description |
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|--------|---------|-------------|
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| `activity_id` | `int64` | Unique Strava activity ID |
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| `name` | `string` | Activity title on Strava |
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| `sport` | `category` | Sport type (Run / Ride / Swim / Walk / … ) |
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| `date` | `datetime64[ns]` | Local start time |
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| `distance_km` | `float32` | Distance (metres → **km**) |
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| `elapsed_hr` | `float32` | Elapsed time (sec → **h**; incl. stops) |
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| `moving_hr` | `float32` | Moving time (sec → **h**) |
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| `elevation_gain_m` | `float32` | Positive elevation gain (m) |
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| `elevation_loss_m` | `float32` | Negative elevation (descent, m) |
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| `average_speed_kph` | `float32` | Moving speed (km h-¹) |
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| `max_speed_kph` | `float32` | Max speed (km h-¹) |
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| `average_hr` | `float32` | Avg heart-rate (bpm); *NaN* if no sensor |
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| `max_hr` | `int16` | Max heart-rate (bpm) |
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| `average_cadence` | `float32` | Avg cadence (rpm); bike-runs mixed |
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| `max_cadence` | `int16` | Max cadence (rpm) |
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| `intensity_level` | `float32` | Avg HR ÷ **LTHR (165 bpm)** → 0.50–1.10 |
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| `training_category` | `category` | HR zone label: `Z1-2`, `Z3`, `Z4`, `Z5`, `NoHR` |
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| `trimp` | `float32` | Banister TRIMP = `moving_hr × intensity_level × 50` |
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| `pace_min_per_km` | `float32` | Pace (min km-¹); *NaN* for non-run sports |
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| `commute` | `boolean` | Marked as commute on Strava |
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| `gear` | `string` | Bike / Shoes used (if set) |
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| `calories_kcal` | `float32` | Calories reported by Strava |
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| `weather` | `string` | Weather summary (if available) |
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| `temperature_c` | `float32` | Avg temperature (°C) |
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| `relative_effort` | `Int32` | Strava Relative Effort score |
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| `filename` | `string` | Original FIT/GPX filename (metadata only) |
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| `gpx_path` | `string | None` | Path to GPX in `routes/` (not included if `None`) |
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> **Note**
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> * All numeric time/ distance columns are converted to SI units (hours & kilometres) for easy aggregation.
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> * Empty sensor data (e.g. HR-less activities) are stored as **`NaN`** so they don’t skew means.
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> * `training_category` bins: Z1-2 < 0.79, Z3 < 0.89, Z4 < 0.95, Z5 ≥ 0.95 of LTHR.
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> * `gpx_path` points to a GeoJSON-converted route if the original GPX was processed; raw GPS files are **not** in the repo for privacy.
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---
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## Processing pipeline
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1. **Header translation** : JP CSV → EN headers (custom script)
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2. **Unit conversion** : distance m→km, time s→h
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3. **Intensity & TRIMP** : LTHR = 165 bpm, zones Z1-2/3/4/5
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4. **Weekly aggregation** via pandas `groupby`
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Full code is available in `notebooks/` and `make_dataset.py` inside the GitHub repo.
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---
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## Usage example
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```python
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from datasets import load_dataset
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ds = load_dataset("Benj-samurai/strava_dataset",
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data_files="strava_master_enhanced.parquet")
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df = ds["train"].to_pandas()
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print(df.head())
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```
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## License
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Data © <Yuki Asai> 2025 — released under CC BY-NC 4.0.
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Commercial use forbidden. Remove GPS data before public redistribution.
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## Privacy notes
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- **Raw FIT/GPX files are _not_ included.**
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- **No exact home coordinates**
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All activity start points are shifted by ≥ 200 m to obscure the true home location.
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