Tweets Originating from India During COVID-19 Lockdowns 1, 2, 3, 4

This India-specific COVID-19 tweets dataset has been developed using the large-scale Coronavirus (COVID-19) Tweets Dataset, which currently contains more than 700 million COVID-19 specific English language tweets. This dataset contains tweets originating from India during the first week of each four phases of nationwide lockdowns initiated by the Government of India. For more information on filtering keywords, please visit the primary dataset page.— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z-------------------------------------Related: Coronavirus (COVID-19) Tweets Dataset, Coronavirus (COVID-19) Geo-tagged Tweets Dataset and Coronavirus (COVID-19) Tweets Sentiment Trend (Global)-------------------------------------What's inside the dataset? The files in the dataset contain IDs of the tweets present in the Coronavirus (COVID-19) Tweets Dataset. Note: Below, (all files) means that all the files mentioned and in-between have been considered to develop the ID file, while (only even-numbered files) suggests that only the even-numbered files have been considered.Lockdown period tweets: (all files)Lockdown1.zip: March 25, 2020 - April 02, 2020; corona_tweets_08.csv to corona_tweets_14.csvLockdown2.zip: April 14, 2020 - April 21, 2020; corona_tweets_27.csv to corona_tweets_33.csvLockdown3.zip: May 01, 2020 - May 07, 2020; corona_tweets_44.csv to corona_tweets_49.csvLockdown4.zip: May 18, 2020 - May 23, 2020; corona_tweets_61.csv to corona_tweets_66.csvExtras: (all files)extras_june1_june7.zip: corona_tweets_75.csv to corona_tweets_80.csvExtras: (only even-numbered files)extras_june24_july1.zip: corona_tweets_96.csv to corona_tweets_104.csvextras_july2_july15.zip: corona_tweets_106.csv to corona_tweets_118.csvextras_july16_august4.zip: corona_tweets_120.csv to corona_tweets_138.csvextras_august5_august18.zip: corona_tweets_140.csv to corona_tweets_152.csvextras_august19_september1.zip: corona_tweets_154.csv to corona_tweets_166.csvextras_september2_september15.zip: corona_tweets_168.csv to corona_tweets_180.csv

本印度专属新型冠状病毒肺炎（COVID-19）推文数据集，基于当前已收录超7亿条COVID-19专属英文推文的大规模冠状病毒（COVID-19）推文数据集构建而成。本数据集收录了印度政府发起的四轮全国性封锁阶段各第一周内源自印度的推文。如需了解筛选关键词的更多信息，请访问原始数据集页面。
——数据集使用条款：使用本数据集即代表您同意：(i) 仅将本数据集内容及由其生成的数据用于非商业性研究；(ii) 始终遵守Twitter开发者政策；(iii) 引用以下论文：Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z
-------------------------------------相关数据集：冠状病毒（COVID-19）推文数据集、冠状病毒（COVID-19）地理标记推文数据集以及冠状病毒（COVID-19）推文情感趋势（全球版）-------------------------------------
数据集包含哪些内容？
本数据集中的文件收录了大规模冠状病毒（COVID-19）推文数据集中相关推文的ID。注意：下文表述中，「全量文件」指构建ID文件时纳入了所有提及及区间内的文件；「仅偶数编号文件」指仅纳入偶数编号的文件。
封锁时段推文（全量文件）：
封锁1.zip：2020年3月25日—2020年4月2日；对应文件为corona_tweets_08.csv至corona_tweets_14.csv
封锁2.zip：2020年4月14日—2020年4月21日；对应文件为corona_tweets_27.csv至corona_tweets_33.csv
封锁3.zip：2020年5月1日—2020年5月7日；对应文件为corona_tweets_44.csv至corona_tweets_49.csv
封锁4.zip：2020年5月18日—2020年5月23日；对应文件为corona_tweets_61.csv至corona_tweets_66.csv
附加数据（全量文件）：
extras_june1_june7.zip：corona_tweets_75.csv至corona_tweets_80.csv
附加数据（仅偶数编号文件）：
extras_june24_july1.zip：corona_tweets_96.csv至corona_tweets_104.csv
extras_july2_july15.zip：corona_tweets_106.csv至corona_tweets_118.csv
extras_july16_august4.zip：corona_tweets_120.csv至corona_tweets_138.csv
extras_august5_august18.zip：corona_tweets_140.csv至corona_tweets_152.csv
extras_august19_september1.zip：corona_tweets_154.csv至corona_tweets_166.csv
extras_september2_september15.zip：corona_tweets_168.csv至corona_tweets_180.csv