chore: sync metadata, drop original files

README.md

@@ -1,57 +1,62 @@
----
-license: cc-by-4.0
-task_categories:
-- time-series-forecasting
-tags:
-- forecasting
-- anomaly-detection
-- classification
-- TSLib
-- tsfile
-- modality:timeseries
-pretty_name: Traffic (TsFile)
-size_categories:
-- 1M<n<10M
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: traffic.tsfile
-modality:
-- timeseries
-language:
-- en
----
-
-# Traffic (TsFile)
-
-Apache TsFile version of the `traffic` long-term-forecasting subset of
-[`thuml/Time-Series-Library`](https://huggingface.co/datasets/thuml/Time-Series-Library).
-
-## Overview
-
-Hourly road-occupancy rates from 862 sensors on San Francisco Bay Area freeways.
-
-- **Rows:** 17,544 time steps.
-- **Channels:** 862 numeric variables.
-- A single multivariate series; no TAG/device dimension.
-
-## Schema (TsFile structure)
-
-- **Time** (INT64, milliseconds) — parsed from the source `date` column.
-- **FIELD** (862 columns, FLOAT) — the measured channels. Channel names are
-  made schema-safe (e.g. `%`→`pct`, spaces→`_`, leading digits prefixed `c_`).
-
-The source `date` string is dropped (losslessly encoded into Time). No rows or
-numeric columns are dropped.
-
-## Usage
-
-Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
-
-## Source & license
-
-- Original dataset: https://huggingface.co/datasets/thuml/Time-Series-Library (subset `traffic`)
-- Author / publisher: thuml (Tsinghua University)
-- Paper: https://arxiv.org/abs/2407.13278
-- License: CC BY 4.0
+---
+license: cc-by-4.0
+task_categories:
+- time-series-forecasting
+tags:
+- time-series
+- forecasting
+- anomaly-detection
+- classification
+- TSLib
+- tsfile
+- modality:timeseries
+- timeseries
+- format:tsfile
+pretty_name: Traffic (TsFile)
+size_categories:
+- 1M<n<10M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: traffic.tsfile
+modality:
+- timeseries
+- tabular
+- text
+language:
+- en
+---
+
+# Traffic (TsFile)
+
+Apache TsFile version of the `traffic` long-term-forecasting subset of
+[`thuml/Time-Series-Library`](https://huggingface.co/datasets/thuml/Time-Series-Library).
+
+## Overview
+
+Hourly road-occupancy rates from 862 sensors on San Francisco Bay Area freeways.
+
+- **Rows:** 17,544 time steps.
+- **Channels:** 862 numeric variables.
+- A single multivariate series; no TAG/device dimension.
+
+## Schema (TsFile structure)
+
+- **Time** (INT64, milliseconds) — parsed from the source `date` column.
+- **FIELD** (862 columns, FLOAT) — the measured channels. Channel names are
+  made schema-safe (e.g. `%`→`pct`, spaces→`_`, leading digits prefixed `c_`).
+
+The source `date` string is dropped (losslessly encoded into Time). No rows or
+numeric columns are dropped.
+
+## Usage
+
+Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
+
+## Source & license
+
+- Original dataset: https://huggingface.co/datasets/thuml/Time-Series-Library (subset `traffic`)
+- Author / publisher: thuml (Tsinghua University)
+- Paper: https://arxiv.org/abs/2407.13278
+- License: CC BY 4.0