Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. The first 9 weeks of data (from January 1st, 2020 to March 11th, 2020) contain very low tweet counts as we filtered other data we were collecting for other research purposes, however, one can see the dramatic increase as the awareness for the virus spread. Dedicated data gathering started from March 11th to March 30th which yielded over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to February 27th, to provide extra longitudinal coverage.The data collected from the stream captures all languages, but the higher prevalence are: English, Spanish, and French. We include two different files. Full-dataset.tsv contains all the 100 million tweet ids where as fulldataset-clean.tsv contains only original tweets (with no retweets.) For NLP tasks we provide the top 1000 frequent terms in frequentterms.csv, the top 1000 bigrams in frequentbigrams.csv, and the top 1000 trigrams in frequenttrigrams.csv. Some general statistics per day are included for both datasets in the statistics-fulldataset.tsv and statistics-fulldataset-clean.tsv files.