---
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