Datasets:
| language: | |
| - en | |
| license: apache-2.0 | |
| task_categories: | |
| - time-series-forecasting | |
| tags: | |
| - forecasting | |
| - tsfile | |
| - format:tsfile | |
| - timeseries | |
| pretty_name: fastest | |
| size_categories: | |
| - n<1K | |
| # fastest (TsFile) | |
| Apache TsFile version of | |
| [`FaalSa/fastest`](https://huggingface.co/datasets/FaalSa/fastest). | |
| ## Overview | |
| A univariate time-series forecasting dataset of **25 series**, provided in the standard | |
| GluonTS-style train / validation / test layout. The validation and test splits extend the | |
| train series by one and two prediction horizons respectively (validation = train + 120 | |
| points, test = train + 240 points). | |
| ``` | |
| train/ faalsa_fastest_train.tsfile 25 series × 4320 points = 108,000 rows | |
| validation/ faalsa_fastest_validation.tsfile 25 series × 4440 points = 111,000 rows | |
| test/ faalsa_fastest_test.tsfile 25 series × 4560 points = 114,000 rows | |
| ``` | |
| The original train / validation / test split is preserved — each split is a separate TsFile | |
| (not merged). | |
| ## Schema (TsFile structure) | |
| - **Time** (INT64, milliseconds) — built from the per-series `start` timestamp and position. | |
| - **item_id** (TAG) — the series identity (25 devices). | |
| - **target** (FIELD, FLOAT) — the observed value. | |
| ## Usage | |
| Read the `.tsfile` files with the Apache TsFile Java or Python SDK. | |
| ## Source & license | |
| - Original dataset: https://huggingface.co/datasets/FaalSa/fastest | |
| - Author: FaalSa | |
| - License: apache-2.0 | |