CoolFace
Datasetpublic

THULab/FaceDetection

FaceDetection (TsFile) Apache TsFile version of the FaceDetection UEA classification subset of thuml/Time-Series-Library. Overview MEG brain-activity recordings; classify whether a face or scramble was shown. Train samples: 5,890 • Test samples: 3,524. Dimensions (channels): 144 • Series length: 62. Classes: 2. Each sample is an independent multivariate series. TRAIN and TEST are stored as two separate TsFiles (FaceDetection_train.tsfile /… See the full description on the dataset page: https://huggingface.co/datasets/THULab/FaceDetection.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face
0likes48downloads
Dataset Card

FaceDetection (TsFile)

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

Overview

MEG brain-activity recordings; classify whether a face or scramble was shown.

  • —Train samples: 5,890 • Test samples: 3,524.
  • —Dimensions (channels): 144 • Series length: 62.
  • —Classes: 2.

Each sample is an independent multivariate series. TRAIN and TEST are stored as two separate TsFiles (FaceDetection_train.tsfile / FaceDetection_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..61); a frame index, not a wall-clock timestamp (the sktime .ts source has none).
  • —dim_0 … dim_143 (FIELD, FLOAT) — the 144 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 FaceDetection)
  • —Author / publisher: thuml (Tsinghua University)
  • —Paper: https://arxiv.org/abs/2407.13278
  • —License: CC BY 4.0