Qingren/TSFM-ScalingLaws-Dataset
TSFM-ScalingLaws-Dataset This is the dataset for the paper Towards Neural Scaling Laws for Time Series Foundation Models. Code: https://github.com/Qingrenn/TSFM-ScalingLaws Well-trained models: https://huggingface.co/PeacefulData/TSFM-ScalingLaws-Checkpoints Dataset Summary Domain Transport Climate Energy Cloud Health Sales Web Total Datasets 8 2 14 3 9 1 2 39 Time Points 4.82B 4.73B 4.76B 2.15B 232M 140M 40M 16.8B Proportion 28.52% 28.06% 28.21%… See the full description on the dataset page: https://huggingface.co/datasets/Qingren/TSFM-ScalingLaws-Dataset.
| Author / organization | Qingren |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 December 2024 |
| Last updated at source | 7 February 2025 |
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- 16 Oct 2026 Description: TSFM-ScalingLaws-Dataset This is the dataset for the paper Towards Neural Scaling Laws for Time Series Foundation Models. Code: https://github.com/Qingrenn/TSFM-ScalingLaws Well-trained models: https://huggingface.co/PeacefulData/TSFM-Scali → TSFM-ScalingLaws-Dataset This is the dataset for the paper Towards Neural Scaling Laws for Time Series Foundation Models. Code: https://github.com/Qingrenn/TSFM-ScalingLaws Well-trained models: https://huggingface.co/PeacefulData/TSFM-Scali
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