Add TsFile (converted from thuml/Time-Series-Library)

.gitattributes

@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+PSM_test.tsfile filter=lfs diff=lfs merge=lfs -text
+PSM_train.tsfile filter=lfs diff=lfs merge=lfs -text

PSM_test.tsfile

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6345247e663a37398802e805cbf396e9c968ddd3e539f0a529e3cfbb8d46aa8c
+size 6490814

PSM_train.tsfile

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+version https://git-lfs.github.com/spec/v1
+oid sha256:896ff5675a8d96914d034ff6e3b49f5b432363a344dd514adfb4778e794b8b89
+size 9897515

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- time-series
+tags:
+- tsfile
+- timeseries
+- time-series
+- anomaly-detection
+pretty_name: PSM (TsFile)
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: PSM_train.tsfile
+  - split: test
+    path: PSM_test.tsfile
+---
+
+# PSM (TsFile)
+
+Apache TsFile version of the `PSM` anomaly-detection subset of
+[`thuml/Time-Series-Library`](https://huggingface.co/datasets/thuml/Time-Series-Library).
+
+## Overview
+
+Pooled Server Metrics: 25 server-application metrics for anomaly detection.
+
+- **Train:** 132,481 rows (all normal).
+- **Test:** 87,841 rows (with per-timestep 0/1 anomaly labels).
+- **Channels:** 25.
+
+The train and test segments are stored as two separate TsFiles
+(`PSM_train.tsfile` / `PSM_test.tsfile`), preserving the original split.
+
+## Schema (TsFile structure)
+
+- **Time** (INT64, milliseconds) — `timestamp_(min)` * 60000.
+- **FIELD** (25 channels, FLOAT) — the sensor/metric channels.
+- **label** (INT32) — per-timestep anomaly flag (0/1). The train file is all 0
+  (no ground-truth labels); the test file carries the anomaly labels.
+
+No channels or rows 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 `PSM`)
+- Author / publisher: thuml (Tsinghua University)
+- Paper: https://arxiv.org/abs/2407.13278
+- License: CC BY 4.0