Datasets:
Tasks:
Time Series Forecasting
Modalities:
Time-series
Languages:
English
Size:
1M<n<10M
ArXiv:
License:
| 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`](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 | |