Update README.md
Browse files
README.md
CHANGED
|
@@ -11,7 +11,6 @@ pretty_name: Misinformation Detection Dataset
|
|
| 11 |
Modalities:
|
| 12 |
- Text
|
| 13 |
|
| 14 |
-
|
| 15 |
---
|
| 16 |
|
| 17 |
|
|
@@ -28,10 +27,13 @@ Modalities:
|
|
| 28 |
### Dataset Summary
|
| 29 |
|
| 30 |
Misinformation is a challenging societal issue, and mitigating solutions are difficult to create due to data deficiencies. To address this problem, we have curated the largest collection of (mis)information datasets in the literature, totaling 72. From these, we evaluated the quality of all of the 32 datasets that consist of statements or claims. If you would like to contribute a novel dataset or report any issues, please email us or visit our GitHub.
|
| 31 |
-
|
| 32 |
Please refer to our [paper](https://arxiv.org/abs/2104.06952) for further details.
|
| 33 |
|
| 34 |
### Team
|
| 35 |
-
This dataset is made available by Complexe Data Lab, a group composed of researchers from
|
| 36 |
|
| 37 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
Modalities:
|
| 12 |
- Text
|
| 13 |
|
|
|
|
| 14 |
---
|
| 15 |
|
| 16 |
|
|
|
|
| 27 |
### Dataset Summary
|
| 28 |
|
| 29 |
Misinformation is a challenging societal issue, and mitigating solutions are difficult to create due to data deficiencies. To address this problem, we have curated the largest collection of (mis)information datasets in the literature, totaling 72. From these, we evaluated the quality of all of the 32 datasets that consist of statements or claims. If you would like to contribute a novel dataset or report any issues, please email us or visit our GitHub.
|
|
|
|
| 30 |
Please refer to our [paper](https://arxiv.org/abs/2104.06952) for further details.
|
| 31 |
|
| 32 |
### Team
|
| 33 |
+
This dataset is made available by Complexe Data Lab, a group composed of researchers from University of Montreal and McGill University
|
| 34 |
|
| 35 |
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
|