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## Intro
The data organization follows TFB format: https://github.com/decisionintelligence/TFB.
## TFB data format
TFB stores time series in a format of three column long tables, which we will introduce below：
### Format Introduction
**First column: date** (the exact column name is required, the same applies below.)
- The columns stores the time information in the time series, which can be in either of the following formats:
- Timestamps in string, datetime, or other types that are compatible with pd.to_datetime;
- Integers starting from 1, e.g. 1, 2, 3, 4, 5, ...
**Second column: data**
- This column stores the series values corresponding to the timestamps.
**Third column: cols**
- This column stores the column name (variable name).
### Multivariate time series example:
**A common time series in wide table format:**
| date | channel1 | channel2 | channel3 |
| ---- | -------- | -------- | -------- |
| 1 | 0.1 | 1 | 10 |
| 2 | 0.2 | 2 | 20 |
| 3 | 0.3 | 3 | 30 |
**Convert to TFB format:**
| date | data | cols |
| ---- | ---- | -------- |
| 1 | 0.1 | channel1 |
| 2 | 0.2 | channel1 |
| 3 | 0.3 | channel1 |
| 1 | 1 | channel2 |
| 2 | 2 | channel2 |
| 3 | 3 | channel2 |
| 1 | 10 | channel3 |
| 2 | 20 | channel3 |
| 3 | 30 | channel3 |
## License
This dataset is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.en)
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