Datasets:
Update README with the changelog
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README.md
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'category': 'Macro'}
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```
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### Converting to pandas
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We can easily convert data in such format to a long format data frame
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```python
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```
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Note that since data in the training corpus was obtained by combining various synthetic & real-world time series, the timestamps contain dummy values that have no connection to the original data.
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## License
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Different datasets available in this collection are distributed under different open source licenses. Please see `ds.info.license` and `ds.info.homepage` for each individual dataset.
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'category': 'Macro'}
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```
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## Changelog
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- **v1.3.0 (2025-03-05)**: Fix incorrect timestamp frequency for `monash_hospital`
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- **v1.2.0 (2025-01-03)**: Fix incorrect timestamp frequency for `dominick`
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- **v1.1.0 (2024-11-14)**: Fix irregular timestamp frequency for `m4_quarterly`
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- **v1.0.0 (2024-07-24)**: Initial release
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### Converting to pandas
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We can easily convert data in such format to a long format data frame
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```python
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```
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Note that since data in the training corpus was obtained by combining various synthetic & real-world time series, the timestamps contain dummy values that have no connection to the original data.
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## License
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Different datasets available in this collection are distributed under different open source licenses. Please see `ds.info.license` and `ds.info.homepage` for each individual dataset.
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