| --- |
| pretty_name: "Coupled Mass-Spring-Damper (TsFile)" |
| modality: timeseries |
| authors: "dany-l-23" |
| task_categories: |
| - time-series-forecasting |
| size_categories: |
| - 1M<n<10M |
| tags: |
| - tsfile |
| - timeseries |
| - modality:timeseries |
| - format:tsfile |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: "coupled_msd_*.tsfile" |
| --- |
| |
| # Coupled Mass-Spring-Damper (TsFile) |
|
|
| This dataset is an Apache TsFile conversion of |
| [`dany-l-23/coupled-msd`](https://huggingface.co/datasets/dany-l-23/coupled-msd). |
|
|
| Modalities: Time-series. |
|
|
| ## Overview |
|
|
| - Input–output data of a coupled mass-spring-damper system with a nonlinear force profile (generated with `statesim`). |
| - 200 simulation trajectories of length 7500, split 120 train / 20 validation / 60 test. |
| - `u_1` is the input, `y_1` the output, and `x_1..x_8` the internal states. |
| - The train/validation/test split is preserved as three tsfiles; each trajectory is a device via the `traj_id` TAG. |
|
|
| - Converted observations: 1,500,000 rows across 3 TsFile file(s) |
| - Source format: csv |
|
|
| ## TsFile schema |
|
|
| - **Time** — source `t` (seconds), converted to INT64 milliseconds. |
|
|
| | Column | Role | Type | Meaning | |
| |---|---|---|---| |
| | `Time` | TIME | INT64 (ms) | sample timestamp | |
| | `traj_id` | TAG | STRING | trajectory id | |
| | `u_1` | FIELD | FLOAT | input | |
| | `y_1` | FIELD | FLOAT | output | |
| | `x_1` | FIELD | FLOAT | state 1 | |
| | `x_2` | FIELD | FLOAT | — | |
| | `x_3` | FIELD | FLOAT | — | |
| | `x_4` | FIELD | FLOAT | — | |
| | `x_5` | FIELD | FLOAT | — | |
| | `x_6` | FIELD | FLOAT | — | |
| | `x_7` | FIELD | FLOAT | — | |
| | `x_8` | FIELD | FLOAT | — | |
|
|
| ## Conversion notes |
|
|
| - Split preserved: `coupled_msd_train.tsfile`, `coupled_msd_validation.tsfile`, `coupled_msd_test.tsfile`. |
| - `t` consumed into Time; all 10 measurement/state columns kept as FLOAT FIELDs. |
|
|
| ## Source & license |
|
|
| - Original dataset: https://huggingface.co/datasets/dany-l-23/coupled-msd |
| - Author / publisher: dany-l-23 |
| - License: mit |
|
|
| ## Usage |
|
|
| Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file: |
|
|
| ```python |
| from pathlib import Path |
| from tsfile import TsFileReader |
| |
| path = Path("coupled_msd_test.tsfile") |
| with TsFileReader(str(path)) as reader: |
| schemas = reader.get_all_table_schemas() |
| print("tables:", list(schemas)) |
| table_name = next(iter(schemas)) |
| table = schemas[table_name] |
| columns = [column.get_column_name() for column in table.get_columns()] |
| print("columns:", columns) |
| field_names = [ |
| column.get_column_name() |
| for column in table.get_columns() |
| if column.get_column_name() not in {"Time", "time"} |
| ] |
| if field_names: |
| with reader.query_table(table_name, field_names[:3], batch_size=1024) as result: |
| batch = result.read_arrow_batch() |
| if batch is not None: |
| print(batch.to_pandas().head()) |
| ``` |
|
|
