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
+SelfRegulationSCP2_test.tsfile filter=lfs diff=lfs merge=lfs -text
+SelfRegulationSCP2_train.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,59 @@
+---
+license: cc-by-4.0
+task_categories:
+- time-series-classification
+tags:
+- tsfile
+- timeseries
+- time-series
+- classification
+pretty_name: SelfRegulationSCP2 (TsFile)
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: SelfRegulationSCP2_train.tsfile
+  - split: test
+    path: SelfRegulationSCP2_test.tsfile
+---
+
+# SelfRegulationSCP2 (TsFile)
+
+Apache TsFile version of the `SelfRegulationSCP2` UEA classification subset of
+[`thuml/Time-Series-Library`](https://huggingface.co/datasets/thuml/Time-Series-Library).
+
+## Overview
+
+EEG slow cortical potentials (ALS patient); classify cursor up vs down.
+
+- **Train samples:** 200  •  **Test samples:** 180.
+- **Dimensions (channels):** 7  •  **Series length:** 1152.
+- **Classes:** 2.
+
+Each sample is an independent multivariate series. TRAIN and TEST are stored as
+two separate TsFiles (`SelfRegulationSCP2_train.tsfile` / `SelfRegulationSCP2_test.tsfile`).
+
+## Schema (TsFile structure)
+
+- **sample_index** (TAG) — one device per sample. Query one sample with
+  `WHERE sample_index=0`.
+- **Time** (INT64) — within-sample position (0..1151); a frame index, not a
+  wall-clock timestamp (the sktime `.ts` source has none).
+- **dim_0 … dim_6** (FIELD, FLOAT) — the 7 channels at each position.
+- **class_label** (FIELD, STRING) — the sample's class, repeated on every row.
+
+Converted from the sktime `.ts` format. Nothing is dropped: every dimension,
+time point, and label is preserved.
+
+## 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 `SelfRegulationSCP2`)
+- Author / publisher: thuml (Tsinghua University)
+- Paper: https://arxiv.org/abs/2407.13278
+- License: CC BY 4.0

SelfRegulationSCP2_test.tsfile

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+size 5885320

SelfRegulationSCP2_train.tsfile

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+oid sha256:c889a24353290c03bf4a5cdd616c9799e27bea559cb88406b71e569cf2e5fd52
+size 6407710