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

README.md

@@ -1,54 +1,56 @@
----
-tags:
-- tabular
-- energy
-- forecasting
-- weather
-- tsfile
-- modality:timeseries
-pretty_name: REG-Forecasting_v2
-size_categories:
-- 100K<n<1M
-modality:
-- timeseries
----
-
-# REG-Forecasting_v2 (TsFile)
-
-Apache TsFile version of
-[`wachawich/REG-Forecasting_v2`](https://huggingface.co/datasets/wachawich/REG-Forecasting_v2).
-
-## Overview
-
-Renewable Energy Generation (REG) forecasting data at **hourly** granularity, spanning
-**2020-01-01 to 2025-11-19**. For each hour it records the generation (`value`) of two
-generation types together with the shared meteorological and solar-geometry features.
-Compared with the v1 dataset, this version adds extra columns such as `solar_count`,
-`wind_turbine_count`, and cyclic time encodings (`sin_time`, `cos_time`,
-`day_of_month_sin/cos`, `month_of_year_sin/cos`).
-
-- **Two generation types:** `type_name` = `Solar` / `Wind`.
-- **Forecast target:** `value` — generation in that hour.
-- **Features:** radiation, cloud cover, temperature, humidity, pressure, wind
-  speed/direction, precipitation, sunrise/sunset times, and cyclic calendar encodings.
-
-## Schema (TsFile structure)
-
-- **Time** (INT64, milliseconds) — the hourly timestamp.
-- **type_name** (TAG) — the device dimension, `Solar` / `Wind`. Query one type with
-  `WHERE type_name='Solar'`.
-- All remaining columns are FIELDs: `value` plus the meteorological and calendar features.
-
-Type mapping: floating-point → DOUBLE, integers → INT64, strings → STRING. A small number
-of byte-for-byte duplicate rows (from daylight-saving transitions) were removed so that a
-single device never carries two points at the same timestamp.
-
-## Usage
-
-Read `data.tsfile` with the Apache TsFile Java or Python SDK.
-
-## Source & license
-
-- Original dataset: https://huggingface.co/datasets/wachawich/REG-Forecasting_v2
-- Author: wachawich
-- License: not declared by the original dataset card; please defer to the original dataset.
+---
+tags:
+- tabular
+- energy
+- forecasting
+- weather
+- tsfile
+- modality:timeseries
+- format:tsfile
+pretty_name: REG-Forecasting_v2
+size_categories:
+- 100K<n<1M
+modality:
+- timeseries
+---
+
+
+# REG-Forecasting_v2 (TsFile)
+
+Apache TsFile version of
+[`wachawich/REG-Forecasting_v2`](https://huggingface.co/datasets/wachawich/REG-Forecasting_v2).
+
+## Overview
+
+Renewable Energy Generation (REG) forecasting data at **hourly** granularity, spanning
+**2020-01-01 to 2025-11-19**. For each hour it records the generation (`value`) of two
+generation types together with the shared meteorological and solar-geometry features.
+Compared with the v1 dataset, this version adds extra columns such as `solar_count`,
+`wind_turbine_count`, and cyclic time encodings (`sin_time`, `cos_time`,
+`day_of_month_sin/cos`, `month_of_year_sin/cos`).
+
+- **Two generation types:** `type_name` = `Solar` / `Wind`.
+- **Forecast target:** `value` — generation in that hour.
+- **Features:** radiation, cloud cover, temperature, humidity, pressure, wind
+  speed/direction, precipitation, sunrise/sunset times, and cyclic calendar encodings.
+
+## Schema (TsFile structure)
+
+- **Time** (INT64, milliseconds) — the hourly timestamp.
+- **type_name** (TAG) — the device dimension, `Solar` / `Wind`. Query one type with
+  `WHERE type_name='Solar'`.
+- All remaining columns are FIELDs: `value` plus the meteorological and calendar features.
+
+Type mapping: floating-point → DOUBLE, integers → INT64, strings → STRING. A small number
+of byte-for-byte duplicate rows (from daylight-saving transitions) were removed so that a
+single device never carries two points at the same timestamp.
+
+## Usage
+
+Read `data.tsfile` with the Apache TsFile Java or Python SDK.
+
+## Source & license
+
+- Original dataset: https://huggingface.co/datasets/wachawich/REG-Forecasting_v2
+- Author: wachawich
+- License: not declared by the original dataset card; please defer to the original dataset.