README.md

metadata

license: cc-by-4.0
task_categories:
  - time-series-forecasting
tags:
  - time-series
  - forecasting
  - anomaly-detection
  - classification
  - TSLib
  - tsfile
  - modality:timeseries
  - timeseries
  - format:tsfile
pretty_name: Traffic (TsFile)
size_categories:
  - 1M<n<10M
configs:
  - config_name: default
    data_files:
      - split: train
        path: traffic.tsfile
modality:
  - timeseries
  - tabular
  - text
language:
  - en

Traffic (TsFile)

Apache TsFile version of the traffic long-term-forecasting subset of thuml/Time-Series-Library.

Overview

Hourly road-occupancy rates from 862 sensors on San Francisco Bay Area freeways.

• Rows: 17,544 time steps.
• Channels: 862 numeric variables.
• A single multivariate series; no TAG/device dimension.

Schema (TsFile structure)

• Time (INT64, milliseconds) — parsed from the source date column.
• FIELD (862 columns, FLOAT) — the measured channels. Channel names are made schema-safe (e.g. %→pct, spaces→_, leading digits prefixed c_).

The source date string is dropped (losslessly encoded into Time). No rows or numeric columns 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 traffic)
• Author / publisher: thuml (Tsinghua University)
• Paper: https://arxiv.org/abs/2407.13278
• License: CC BY 4.0