Datasets:
Delete TourismYearly
Browse files- TourismYearly/meta.json +0 -19
- TourismYearly/part0.parquet +0 -3
- TourismYearly/references.bib +0 -7
TourismYearly/meta.json
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{
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"name": "TourismYearly",
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"source": "https://huggingface.co/datasets/Maple728/Time-300B/tree/main/finance/tourism_yearly",
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"desp": "This dataset is a subset of Time-300B, which is a dataset for training forecasting foundation models. The tourism dataset specifically focuses on yearly finance data.",
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"domain": "Finance",
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"license": "Apache-2.0",
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"targets": ["data"],
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"covariates": [],
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"timestamp": null,
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"freq": [
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"y"
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],
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"num_series": 419,
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"num_timesteps": 11198,
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"num_datapoints": 11198,
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"split": "train",
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"quality": "high",
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"timestamp_as_covariate": false
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}
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TourismYearly/part0.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0f52a0cdb0d82a92f1b6763ef4a9f128e8f3a486c7272fd831f60563cbdc593
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size 78924
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TourismYearly/references.bib
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@inproceedings{xiaoming2025time,
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title={Time-MoE: {B}illion-Scale Time Series Foundation Models with Mixture of Experts},
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author={Xiaoming, Shi and Shiyu, Wang and Yuqi, Nie and Dianqi, Li and Zhou, Ye and Qingsong, Wen and Jin, Ming},
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booktitle={Proceedings of the 13th International Conference on Learning Representations},
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year={2025}
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}
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