Update README.md

README.md

@@ -1,3 +1,27 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- text-classification
+language:
+- en
+pretty_name: MPQA
+size_categories:
+- 10K<n<100K
+---
+
+Dataset used in the paper:
+
+A thorough benchmark of automatic text classification
+From traditional approaches to large language models
+
+https://github.com/waashk/atcBench
+
+To guarantee the reproducibility of the obtained results, the dataset and its respective CV train-test partitions is available here.
+
+Each dataset contains the following files:
+
+- data.parquet: pandas DataFrame with texts and associated encoded labels for each document.
+- split_\<k\>.pkl: pandas DataFrame with k-cross validation partition.
+- For each fold \<k\>:
+  - train_fold_\<k\>.parquet: pandas DataFrame with texts and associated encoded labels for each document on the training split k (according to split_\<k\>.pkl)
+  - train_fold_\<k\>.parquet: pandas DataFrame with texts and associated encoded labels for each document on the testing split k (according to split_\<k\>.pkl)