Baidu mobility data for January through April, 2020
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data sourc' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["2019-ncov","Baidu","mobility","Wuhan"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data sourc' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day.We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data sourc
2019-ncov; Baidu; mobility; Wuhan