Datasets:
Delete BJTaxiThreeValues
Browse files
BJTaxiThreeValues/meta.json
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{
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"name": "BJTaxiThreeValues",
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"source": "https://github.com/TolicWang/DeepST",
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"desp": "The dataset contains the taxicab GPS data in Beijing, China, focusing on three values: wind speed, temperature, and weather.",
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"domain": "Traffic",
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"license": "Unkown",
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"targets": [
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"wind_speed",
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"temperature",
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"weather_0",
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"weather_1",
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"weather_2",
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"weather_3",
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"weather_4",
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"weather_5",
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"weather_6",
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"weather_7",
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"weather_8",
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"weather_9",
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"weather_10",
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"weather_11",
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"weather_12",
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"weather_13",
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"weather_14",
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"weather_15",
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"weather_16"
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],
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"covariates": [],
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"timestamp": null,
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"freq": null,
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"num_series": 1,
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"num_timesteps": 59006,
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"num_datapoints": 1121114,
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"split": "train",
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"quality": "medium",
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"timestamp_as_covariate": false
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}
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BJTaxiThreeValues/part0.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:95ce3be6b056c8456f0e08ca63be6d07e53d287eb325bfbf390d47c7c21dcafb
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size 96801
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BJTaxiThreeValues/references.bib
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@inproceedings{zhang2017deep,
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title={Deep Spatio-temporal Residual Networks for Citywide Crowd Flows Prediction},
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author={Zhang, Junbo and Zheng, Yu and Qi, Dekang},
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booktitle={Proceedings of the 2017 AAAI conference on Artificial Intelligence},
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volume={31},
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number={1},
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year={2017}
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}
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