Datasets:
Add TsFile (converted from thuml/Time-Series-Library)
Browse files- .gitattributes +2 -0
- README.md +59 -0
- UWaveGestureLibrary_test.tsfile +3 -0
- UWaveGestureLibrary_train.tsfile +3 -0
.gitattributes
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@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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UWaveGestureLibrary_test.tsfile filter=lfs diff=lfs merge=lfs -text
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UWaveGestureLibrary_train.tsfile filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: cc-by-4.0
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task_categories:
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- time-series-classification
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tags:
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- tsfile
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- timeseries
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- time-series
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- classification
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pretty_name: UWaveGestureLibrary (TsFile)
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size_categories:
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- 10K<n<100K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: UWaveGestureLibrary_train.tsfile
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- split: test
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path: UWaveGestureLibrary_test.tsfile
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---
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# UWaveGestureLibrary (TsFile)
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Apache TsFile version of the `UWaveGestureLibrary` UEA classification subset of
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[`thuml/Time-Series-Library`](https://huggingface.co/datasets/thuml/Time-Series-Library).
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## Overview
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Accelerometer traces of eight hand gestures; classify the gesture.
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- **Train samples:** 120 • **Test samples:** 320.
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- **Dimensions (channels):** 3 • **Series length:** 315.
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- **Classes:** 8.
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Each sample is an independent multivariate series. TRAIN and TEST are stored as
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two separate TsFiles (`UWaveGestureLibrary_train.tsfile` / `UWaveGestureLibrary_test.tsfile`).
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## Schema (TsFile structure)
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- **sample_index** (TAG) — one device per sample. Query one sample with
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`WHERE sample_index=0`.
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- **Time** (INT64) — within-sample position (0..314); a frame index, not a
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wall-clock timestamp (the sktime `.ts` source has none).
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- **dim_0 … dim_2** (FIELD, FLOAT) — the 3 channels at each position.
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- **class_label** (FIELD, STRING) — the sample's class, repeated on every row.
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Converted from the sktime `.ts` format. Nothing is dropped: every dimension,
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time point, and label is preserved.
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## Usage
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Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
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## Source & license
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- Original dataset: https://huggingface.co/datasets/thuml/Time-Series-Library (subset `UWaveGestureLibrary`)
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- Author / publisher: thuml (Tsinghua University)
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- Paper: https://arxiv.org/abs/2407.13278
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- License: CC BY 4.0
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UWaveGestureLibrary_test.tsfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:10bad6b66d226ea97fa3ccd905794fe2afccd7ea1ec90405e999bdf50b904ad7
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size 1042871
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UWaveGestureLibrary_train.tsfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea415f508b8ca02d4993f307fe07adf78ece96a8836ef264c4365be5bae50527
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size 389950
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