Update README.md

README.md

@@ -14,7 +14,7 @@ task_categories:
 task_ids:
   - extractive-qa
 dataset_info:
-- config_name: m2qa.chinese.creative_writing
+- config_name: m2qa.german.creative_writing
   features:
   - name: id
     dtype: string
@@ -30,11 +30,11 @@ dataset_info:
       sequence: int64
   splits:
   - name: validation
-    num_bytes: 1600001
+    num_bytes: 2083548
     num_examples: 1500
-  download_size: 1559229
-  dataset_size: 1600001
-- config_name: m2qa.chinese.news
+  download_size: 2047695
+  dataset_size: 2083548
+- config_name: m2qa.german.news
   features:
   - name: id
     dtype: string
@@ -50,14 +50,14 @@ dataset_info:
       sequence: int64
   splits:
   - name: validation
-    num_bytes: 1847465
+    num_bytes: 2192833
     num_examples: 1500
   - name: train
-    num_bytes: 1135914
+    num_bytes: 1527473
     num_examples: 1500
-  download_size: 2029530
-  dataset_size: 2983379
-- config_name: m2qa.chinese.product_reviews
+  download_size: 2438496
+  dataset_size: 3720306
+- config_name: m2qa.german.product_reviews
   features:
   - name: id
     dtype: string
@@ -73,14 +73,14 @@ dataset_info:
       sequence: int64
   splits:
   - name: validation
-    num_bytes: 1390223
+    num_bytes: 1652573
     num_examples: 1500
   - name: train
-    num_bytes: 1358895
+    num_bytes: 1158154
     num_examples: 1500
-  download_size: 1597724
-  dataset_size: 2749118
-- config_name: m2qa.german.creative_writing
+  download_size: 1830972
+  dataset_size: 2810727
+- config_name: m2qa.chinese.creative_writing
   features:
   - name: id
     dtype: string
@@ -96,11 +96,11 @@ dataset_info:
       sequence: int64
   splits:
   - name: validation
-    num_bytes: 2083548
+    num_bytes: 1600001
     num_examples: 1500
-  download_size: 2047695
-  dataset_size: 2083548
-- config_name: m2qa.german.news
+  download_size: 1559229
+  dataset_size: 1600001
+- config_name: m2qa.chinese.news
   features:
   - name: id
     dtype: string
@@ -116,14 +116,14 @@ dataset_info:
       sequence: int64
   splits:
   - name: validation
-    num_bytes: 2192833
+    num_bytes: 1847465
     num_examples: 1500
   - name: train
-    num_bytes: 1527473
+    num_bytes: 1135914
     num_examples: 1500
-  download_size: 2438496
-  dataset_size: 3720306
-- config_name: m2qa.german.product_reviews
+  download_size: 2029530
+  dataset_size: 2983379
+- config_name: m2qa.chinese.product_reviews
   features:
   - name: id
     dtype: string
@@ -139,13 +139,13 @@ dataset_info:
       sequence: int64
   splits:
   - name: validation
-    num_bytes: 1652573
+    num_bytes: 1390223
     num_examples: 1500
   - name: train
-    num_bytes: 1158154
+    num_bytes: 1358895
     num_examples: 1500
-  download_size: 1830972
-  dataset_size: 2810727
+  download_size: 1597724
+  dataset_size: 2749118
 - config_name: m2qa.turkish.creative_writing
   features:
   - name: id
@@ -263,7 +263,7 @@ M2QA: Multi-domain Multilingual Question Answering
 
 M2QA (Multi-domain Multilingual Question Answering) is an extractive question answering benchmark for evaluating joint language and domain transfer. M2QA includes 13,500 SQuAD 2.0-style question-answer instances in German, Turkish, and Chinese for the domains of product reviews, news, and creative writing.
 
-This Hugging Face datasets repo accompanies our paper "[M2QA: Multi-domain Multilingual Question Answering](TODO_INSERT_ARXIV_LINK)". If you want an explanation and code to reproduce all our results or want to use our custom-built annotation platform, have a look at our GitHub repository: [https://github.com/adapter-hub/m2qa](https://github.com/adapter-hub/m2qa)
+This Hugging Face datasets repo accompanies our paper "[M2QA: Multi-domain Multilingual Question Answering](https://arxiv.org/abs/2407.01091)". If you want an explanation and code to reproduce all our results or want to use our custom-built annotation platform, have a look at our GitHub repository: [https://github.com/UKPLab/m2qa](https://github.com/UKPLab/m2qa)
 
 
 Loading & Decrypting the Dataset
@@ -278,7 +278,7 @@ from cryptography.fernet import Fernet
 
 # Load the dataset
 subset = "m2qa.german.news" # Change to the subset that you want to use
-dataset = load_dataset("lenglaender/m2qa", subset) # TODO change to new repo name
+dataset = load_dataset("UKPLab/m2qa", subset)
 
 # Decrypt it
 fernet = Fernet(b"aRY0LZZb_rPnXWDSiSJn9krCYezQMOBbGII2eGkN5jo=")
@@ -297,7 +297,7 @@ The M2QA dataset is licensed under a "no derivative" agreement. To prevent conta
 
 Overview / Data Splits
 ----------
-All used text passages stem from sources with open licenses. We list the licenses here: [https://github.com/adapter-hub/m2qa/tree/main/m2qa_dataset](https://github.com/adapter-hub/m2qa/tree/main/m2qa_dataset)
+All used text passages stem from sources with open licenses. We list the licenses here: [https://github.com/UKPLab/m2qa/tree/main/m2qa_dataset](https://github.com/UKPLab/m2qa/tree/main/m2qa_dataset)
 
 We have validation data for the following domains and languages:
 
@@ -337,6 +337,8 @@ If you use this dataset, please cite our paper:
         Kuznetsov, Ilia and
         Gurevych, Iryna},
     journal={arXiv preprint},
+    url="https://arxiv.org/abs/2407.01091",
+    month = jul,
     year="2024"
 }
 ```