chore: translate README to English and add format:tsfile tag

README.md

@@ -1,53 +1,55 @@
----
-language:
-- en
-license: apache-2.0
-task_categories:
-- time-series-forecasting
-tags:
-- forecasting
-- tsfile
-- modality:timeseries
-pretty_name: fastest
-size_categories:
-- n<1K
-modality:
-- timeseries
----
-
-# 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
+---
+language:
+- en
+license: apache-2.0
+task_categories:
+- time-series-forecasting
+tags:
+- forecasting
+- tsfile
+- modality:timeseries
+- format:tsfile
+pretty_name: fastest
+size_categories:
+- n<1K
+modality:
+- timeseries
+---
+
+
+# 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