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Add TsFile (converted from thuml/Time-Series-Library)
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---
license: cc-by-4.0
task_categories:
- time-series-forecasting
tags:
- tsfile
- timeseries
- time-series
- forecasting
pretty_name: Traffic (TsFile)
size_categories:
- 100K<n<1M
configs:
- config_name: default
data_files:
- split: train
path: traffic.tsfile
---
# Traffic (TsFile)
Apache TsFile version of the `traffic` long-term-forecasting subset of
[`thuml/Time-Series-Library`](https://huggingface.co/datasets/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