Updated readme

README.md

@@ -34,7 +34,7 @@ task_categories:
     - [Data Fields](#data-fields)
     - [Data Splits](#data-splits)
       - [Train Split](#train-split)
-      - [Test split](#test-split)
+      - [Test splits](#test-splits)
     - [Dataset Creation](#dataset-creation)
   - [Additional Information](#additional-information)
     - [Dataset Curators](#dataset-curators)
@@ -52,7 +52,7 @@ This dataset contains a sample of sentences taken from the [FLORES-101](https://
 
 This dataset is made available for final projects of the 2022 edition of the Natural Language Processing course at the [Information Science Master's Degree](https://www.rug.nl/masters/information-science/?lang=en) at the University of Groningen, taught by [Arianna Bisazza](https://research.rug.nl/en/persons/arianna-bisazza) with the assistance of [Gabriele Sarti](https://research.rug.nl/en/persons/gabriele-sarti) and [Anjali Nair](https://nl.linkedin.com/in/anjalinair012).
 
-**Disclaimer**: *This repository is provided without direct data access due to currently unpublished results.* _**For this reason, it is strictly forbidden to share or publish all the data associated to this repository**_ *Students will be provided with a compressed folder containing the data upon choosing a project based on this dataset. To load the dataset using 🤗 Datasets, download and unzip the provided folder and pass it to the* `load_dataset` *method as:* `datasets.load_dataset('GroNLP/ik-nlp-22_pestyle', 'main', data_dir='path/to/unzipped/folder')`
+**Disclaimer**: *This repository is provided without direct data access due to currently unpublished results.* _**For this reason, it is strictly forbidden to share or publish all the data associated to this repository**_ *Students will be provided with a compressed folder containing the data upon choosing a project based on this dataset. To load the dataset using 🤗 Datasets, download and unzip the provided folder and pass it to the* `load_dataset` *method as:* `datasets.load_dataset('GroNLP/ik-nlp-22_pestyle', 'full', data_dir='path/to/unzipped/folder')`
 
 ### Languages
 
@@ -62,7 +62,7 @@ The language data of is in English (BCP-47 `en`) and Italian (BCP-47 `it`)
 
 ### Data Instances
 
-The dataset contains a single configuration, `main`, with four data splits: the main `train` split in which all fields are available, and three test splits: `test_mask_subject`, `test_mask_modality`, `test_mask_time`. See more details in the [Data Splits](#data-splits) section.
+The dataset contains four configurations: `full`, `test_mask_subject`, `test_mask_modality`, `test_mask_time`. `full` contains the main `train` split in which all fields are available. The other three, `test_mask_subject`, `test_mask_modality`, `test_mask_time`, contain a `test` split each with different fields removed to avoid information leaking during evaluation. See more details in the [Data Splits](#data-splits) section.
 
 ### Data Fields
 
@@ -151,9 +151,9 @@ The `train` split contains a total of 1170 triplets (or pairs, when translation
 
 The text is provided as-is, without further preprocessing or tokenization.
 
-#### Test split
+#### Test splits
 
-The three `test` splits contains the same 120 entries each, following the same structure as `train`. Each test split omit some of the fields to prevent leakage of information:
+The three `test` splits (one per configuration) contain the same 120 entries each, following the same structure as `train`. Each test split omit some of the fields to prevent leakage of information:
 
 - In `test_mask_subject` the `subject_id` is absent, for the main task of post-editor stylometry.