By downloading the Data, you undertake to participate fully in the WNUT-2020 Task 2---Identification of informative COVID-19 English Tweets---and to publish the results of the research you have conducted using the Data (including a description of any model, algorithm or system created using the Data). It is your responsibility to maintain Twitter's Term's of Service and to delete Tweets that are no longer publicly available.
The Data is exclusively reserved for the participants of the WNUT-2020 Task 2 and is not to be used freely. The Data may be distributed upon request by contacting the task organizers. After WNUT-2020, the Data will be publicly available for non-commercial & non-profit research purposes only.
Please cite the following paper whenever the Data is used to produce published results:
@inproceedings{covid19tweet,
title = {{WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets}},
author = {Dat Quoc Nguyen and Thanh Vu and Afshin Rahimi and Mai Hoang Dao and Linh The Nguyen and Long Doan},
booktitle = {Proceedings of the 6th Workshop on Noisy User-generated Text},
year = {2020},
pages = {314--318},
url = {https://aclanthology.org/2020.wnut-1.41}
}
By downloading this dataset, USER agrees:
- to use the dataset for research or educational purposes only.
- to not distribute the dataset or part of the dataset in any original or modified form.
- and to cite our paper whenever the dataset is used to help produce published results.
Copyright (c) 2020 VinAI
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE DATA OR THE USE OR OTHER DEALINGS IN THE
DATA.