Rewrite dataset card in English; add tsfile tag

README.md

@@ -1,24 +1,60 @@
----
-license: apache-2.0
----
-
-# ett1
-
-Standalone TsFile copy of the converted `ett1` subset from
-[`smilegeng/gifteval`](https://huggingface.co/datasets/smilegeng/gifteval).
-
-The data is organized by the original GiftEval frequency under `data/`:
-
-- `data/15T/`: 1 `.tsfile` files
-- `data/D/`: 1 `.tsfile` files
-- `data/H/`: 1 `.tsfile` files
-- `data/W/`: 1 `.tsfile` files
-
-Original subset:
-https://huggingface.co/datasets/Salesforce/GiftEval/tree/main/ett1
-
-Converted source:
-https://huggingface.co/datasets/smilegeng/gifteval
-
-Viewer status: Hugging Face dataset viewer is expected to be unavailable because
-`.tsfile` is not a supported viewer format.
+---
+license: apache-2.0
+tags:
+- tsfile
+- time-series
+- forecasting
+- benchmark
+- gifteval
+task_categories:
+- time-series-forecasting
+pretty_name: ett1 (GIFT-Eval, TsFile)
+---
+
+# ett1 (TsFile)
+
+Apache TsFile version of the **`ett1`** subset of
+[GIFT-Eval](https://huggingface.co/datasets/Salesforce/GiftEval).
+
+## Overview
+
+GIFT-Eval is a benchmark for general time-series forecasting, covering 23 datasets
+(≈144,000 series and 177M data points) across seven domains, ten frequencies, and a
+range of forecast horizons. This repository contains a single subset of that benchmark.
+
+**`ett1`** — Electricity Transformer Temperature, station 1 (ETT) load and oil-temperature series.
+
+The `.tsfile` files are organized by the original GIFT-Eval frequency under `data/`:
+
+- `data/15T/`: 1 `.tsfile` files
+- `data/D/`: 1 `.tsfile` files
+- `data/H/`: 1 `.tsfile` files
+- `data/W/`: 1 `.tsfile` files
+
+## Schema (TsFile structure)
+
+- **Time** (INT64, milliseconds) — the timestamp of each observation.
+- Each series is stored as a TsFile device; per-series identifiers from GIFT-Eval are
+  carried as TAG columns, and the observed values are FIELD columns.
+
+## Usage
+
+Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
+
+## Source & license
+
+- Original dataset: [`Salesforce/GiftEval`](https://huggingface.co/datasets/Salesforce/GiftEval) — subset `ett1`
+- Paper: [GIFT-Eval (arXiv:2410.10393)](https://arxiv.org/abs/2410.10393)
+- Code: https://github.com/SalesforceAIResearch/gift-eval
+- License: apache-2.0
+
+If you use this data, please cite GIFT-Eval:
+
+```bibtex
+@article{aksu2024giftevalbenchmarkgeneraltime,
+  title={GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation},
+  author={Taha Aksu and Gerald Woo and Juncheng Liu and Xu Liu and Chenghao Liu and Silvio Savarese and Caiming Xiong and Doyen Sahoo},
+  journal={arXiv preprint arXiv:2410.10393},
+  year={2024}
+}
+```