Update README.md

README.md

@@ -3,46 +3,46 @@ language:
 - en
 license:
 - mit
-pretty_name: MICO Membership Inference Competition -- CIFAR-10
+pretty_name: MICO Membership Inference Competition -- SST-2
 size_categories:
 - n<1K
 source-datasets:
-- https://www.comp.nus.edu.sg/~reza/files/datasets.html
+- nyu-mll/glue
 tags:
 - membership-inference
 - privacy
 - differential-privacy
 task_categories:
-- tabular-classification
+- text-classification
 viewer: false
 configs:
 - config_name: lo
   data_files:
   - split: train
-    path: cifar10_lo/train
+    path: sst2_lo/train
   - split: dev
-    path: cifar10_lo/dev
+    path: sst2_lo/dev
   - split: final
-    path: cifar10_lo/final
+    path: sst2_lo/final
 - config_name: hi
   data_files:
   - split: train
-    path: cifar10_hi/train
+    path: sst2_hi/train
   - split: dev
-    path: cifar10_hi/dev
+    path: sst2_hi/dev
   - split: final
-    path: cifar10_hi/final
+    path: sst2_hi/final
 - config_name: inf
   data_files:
   - split: train
-    path: cifar10_inf/train
+    path: sst2_inf/train
   - split: dev
-    path: cifar10_inf/dev
+    path: sst2_inf/dev
   - split: final
-    path: cifar10_inf/final
+    path: sst2_inf/final
 ---
 
-# MICO CIFAR-100 challenge dataset
+# MICO SST-2 challenge dataset
 
 ![Mico Argentatus (Silvery Marmoset) - William Warby/Flickr](logo.png)
 Mico Argentatus (Silvery Marmoset) - William Warby/Flickr
@@ -143,7 +143,7 @@ The challenge data provided to participants is arranged as follows:
 `train` data is provided for your convenience: it contains full information about the membership of the challenge points. 
 You can use it for developing your attack (e.g. as shadow models).
 
-You can load the public datasets and individual models and their associated challenge data using the functions provided by the `mico-competition` package in the [accompanying repository](https://github.com/microsoft/MICO) (i.e., `loda_cifar10`, `load_model`, `ChallengeDataset.from_path`, etc.)
+You can load the public datasets and individual models and their associated challenge data using the functions provided by the `mico-competition` package in the [accompanying repository](https://github.com/microsoft/MICO) (i.e., `load_sst2`, `load_model`, `ChallengeDataset.from_path`, etc.)
 Please refer to the starting kit for more information.
 
 
@@ -351,4 +351,4 @@ contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additio
 This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow
 [Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
 Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
-Any use of third-party trademarks or logos are subject to those third-party's policies.
+Any use of third-party trademarks or logos are subject to those third-party's policies.