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THULab/UWaveGestureLibrary

UWaveGestureLibrary (TsFile) Apache TsFile version of the UWaveGestureLibrary UEA classification subset of thuml/Time-Series-Library. Overview Accelerometer traces of eight hand gestures; classify the gesture. Train samples: 120 • Test samples: 320. Dimensions (channels): 3 • Series length: 315. Classes: 8. Each sample is an independent multivariate series. TRAIN and TEST are stored as two separate TsFiles (UWaveGestureLibrary_train.tsfile /… See the full description on the dataset page: https://huggingface.co/datasets/THULab/UWaveGestureLibrary.

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UWaveGestureLibrary (TsFile)

Apache TsFile version of the UWaveGestureLibrary UEA classification subset of `thuml/Time-Series-Library`.

Overview

Accelerometer traces of eight hand gestures; classify the gesture.

  • —Train samples: 120 • Test samples: 320.
  • —Dimensions (channels): 3 • Series length: 315.
  • —Classes: 8.

Each sample is an independent multivariate series. TRAIN and TEST are stored as two separate TsFiles (UWaveGestureLibrary_train.tsfile / UWaveGestureLibrary_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..314); a frame index, not a wall-clock timestamp (the sktime .ts source has none).
  • —dim_0 … dim_2 (FIELD, FLOAT) — the 3 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 UWaveGestureLibrary)
  • —Author / publisher: thuml (Tsinghua University)
  • —Paper: https://arxiv.org/abs/2407.13278
  • —License: CC BY 4.0