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README.md

@@ -38,6 +38,260 @@ dataset_summary: 'This is subset of ''XNLI 2.0: Improving XNLI dataset and perfo
   on Cross Lingual Understanding'' with languages that were not part of the original
   XNLI plus three (verified) languages that are not strongly covered in MTEB'
 dataset_reference: https://arxiv.org/pdf/2301.06527
+descritptive_stats:
+  test:
+    num_samples: 17745
+    number_of_characters: 2778287
+    unique_pairs: 17745
+    min_sentence1_length: 5
+    avg_sentence1_length: 105.99329388560157
+    max_sentence1_length: 339
+    unique_sentence1: 14234
+    min_sentence2_length: 8
+    avg_sentence2_length: 50.57402085094393
+    max_sentence2_length: 162
+    unique_sentence2: 17745
+    unique_labels: 2
+    labels:
+      '0':
+        count: 8879
+      '1':
+        count: 8866
+    hf_subset_descriptive_stats:
+      punjabi:
+        num_samples: 1365
+        number_of_characters: 211060
+        unique_pairs: 1365
+        min_sentence1_length: 16
+        avg_sentence1_length: 104.71721611721611
+        max_sentence1_length: 275
+        unique_sentence1: 1095
+        min_sentence2_length: 8
+        avg_sentence2_length: 49.9054945054945
+        max_sentence2_length: 138
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      gujrati:
+        num_samples: 1365
+        number_of_characters: 202647
+        unique_pairs: 1365
+        min_sentence1_length: 15
+        avg_sentence1_length: 100.43589743589743
+        max_sentence1_length: 270
+        unique_sentence1: 1095
+        min_sentence2_length: 9
+        avg_sentence2_length: 48.02344322344322
+        max_sentence2_length: 141
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      kannada:
+        num_samples: 1365
+        number_of_characters: 220182
+        unique_pairs: 1365
+        min_sentence1_length: 16
+        avg_sentence1_length: 108.54212454212454
+        max_sentence1_length: 283
+        unique_sentence1: 1095
+        min_sentence2_length: 9
+        avg_sentence2_length: 52.76336996336996
+        max_sentence2_length: 158
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      assamese:
+        num_samples: 1365
+        number_of_characters: 202808
+        unique_pairs: 1365
+        min_sentence1_length: 17
+        avg_sentence1_length: 100.45860805860806
+        max_sentence1_length: 271
+        unique_sentence1: 1095
+        min_sentence2_length: 9
+        avg_sentence2_length: 48.11868131868132
+        max_sentence2_length: 153
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      bengali:
+        num_samples: 1365
+        number_of_characters: 204859
+        unique_pairs: 1365
+        min_sentence1_length: 5
+        avg_sentence1_length: 102.37582417582418
+        max_sentence1_length: 282
+        unique_sentence1: 1095
+        min_sentence2_length: 9
+        avg_sentence2_length: 47.704029304029305
+        max_sentence2_length: 139
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      marathi:
+        num_samples: 1365
+        number_of_characters: 205734
+        unique_pairs: 1365
+        min_sentence1_length: 18
+        avg_sentence1_length: 102.1985347985348
+        max_sentence1_length: 272
+        unique_sentence1: 1095
+        min_sentence2_length: 10
+        avg_sentence2_length: 48.522344322344324
+        max_sentence2_length: 156
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      bhojpuri:
+        num_samples: 1365
+        number_of_characters: 205063
+        unique_pairs: 1365
+        min_sentence1_length: 5
+        avg_sentence1_length: 101.88864468864469
+        max_sentence1_length: 266
+        unique_sentence1: 1095
+        min_sentence2_length: 12
+        avg_sentence2_length: 48.34065934065934
+        max_sentence2_length: 154
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      odiya:
+        num_samples: 1365
+        number_of_characters: 210923
+        unique_pairs: 1365
+        min_sentence1_length: 17
+        avg_sentence1_length: 103.77509157509158
+        max_sentence1_length: 259
+        unique_sentence1: 1094
+        min_sentence2_length: 11
+        avg_sentence2_length: 50.747252747252745
+        max_sentence2_length: 149
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      sanskrit:
+        num_samples: 1365
+        number_of_characters: 214093
+        unique_pairs: 1365
+        min_sentence1_length: 17
+        avg_sentence1_length: 105.03516483516484
+        max_sentence1_length: 272
+        unique_sentence1: 1095
+        min_sentence2_length: 8
+        avg_sentence2_length: 51.80952380952381
+        max_sentence2_length: 148
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      tamil:
+        num_samples: 1365
+        number_of_characters: 239561
+        unique_pairs: 1365
+        min_sentence1_length: 15
+        avg_sentence1_length: 118.0923076923077
+        max_sentence1_length: 337
+        unique_sentence1: 1095
+        min_sentence2_length: 10
+        avg_sentence2_length: 57.41025641025641
+        max_sentence2_length: 156
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      turkish:
+        num_samples: 1365
+        number_of_characters: 206729
+        unique_pairs: 1365
+        min_sentence1_length: 15
+        avg_sentence1_length: 103.18021978021979
+        max_sentence1_length: 266
+        unique_sentence1: 1095
+        min_sentence2_length: 9
+        avg_sentence2_length: 48.26959706959707
+        max_sentence2_length: 145
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      greek:
+        num_samples: 1365
+        number_of_characters: 236520
+        unique_pairs: 1365
+        min_sentence1_length: 13
+        avg_sentence1_length: 117.69377289377289
+        max_sentence1_length: 339
+        unique_sentence1: 1095
+        min_sentence2_length: 10
+        avg_sentence2_length: 55.58095238095238
+        max_sentence2_length: 162
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
+      russian:
+        num_samples: 1365
+        number_of_characters: 218108
+        unique_pairs: 1365
+        min_sentence1_length: 11
+        avg_sentence1_length: 109.51941391941392
+        max_sentence1_length: 306
+        unique_sentence1: 1095
+        min_sentence2_length: 11
+        avg_sentence2_length: 50.266666666666666
+        max_sentence2_length: 150
+        unique_sentence2: 1365
+        unique_labels: 2
+        labels:
+          '0':
+            count: 683
+          '1':
+            count: 682
 ---
 <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
 
@@ -45,9 +299,10 @@ dataset_reference: https://arxiv.org/pdf/2301.06527
 
 This is subset of 'XNLI 2.0: Improving XNLI dataset and performance on Cross Lingual Understanding' with languages that were not part of the original XNLI plus three (verified) languages that are not strongly covered in MTEB
 
+<-- Datasets want link to arxiv in readme to autolink dataset with paper -->
 Reference: https://arxiv.org/pdf/2301.06527
 
-## Citation 
+## Citation
 
 ```bibtex
 @inproceedings{upadhyay2023xnli,
@@ -59,4 +314,9 @@ Reference: https://arxiv.org/pdf/2301.06527
             organization={IEEE}
             }
         
+```
+
+# Dataset Statistics
+```json
+{'test': {'num_samples': 17745, 'number_of_characters': 2778287, 'unique_pairs': 17745, 'min_sentence1_length': 5, 'avg_sentence1_length': 105.99329388560157, 'max_sentence1_length': 339, 'unique_sentence1': 14234, 'min_sentence2_length': 8, 'avg_sentence2_length': 50.57402085094393, 'max_sentence2_length': 162, 'unique_sentence2': 17745, 'unique_labels': 2, 'labels': {'0': {'count': 8879}, '1': {'count': 8866}}, 'hf_subset_descriptive_stats': {'punjabi': {'num_samples': 1365, 'number_of_characters': 211060, 'unique_pairs': 1365, 'min_sentence1_length': 16, 'avg_sentence1_length': 104.71721611721611, 'max_sentence1_length': 275, 'unique_sentence1': 1095, 'min_sentence2_length': 8, 'avg_sentence2_length': 49.9054945054945, 'max_sentence2_length': 138, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'gujrati': {'num_samples': 1365, 'number_of_characters': 202647, 'unique_pairs': 1365, 'min_sentence1_length': 15, 'avg_sentence1_length': 100.43589743589743, 'max_sentence1_length': 270, 'unique_sentence1': 1095, 'min_sentence2_length': 9, 'avg_sentence2_length': 48.02344322344322, 'max_sentence2_length': 141, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'kannada': {'num_samples': 1365, 'number_of_characters': 220182, 'unique_pairs': 1365, 'min_sentence1_length': 16, 'avg_sentence1_length': 108.54212454212454, 'max_sentence1_length': 283, 'unique_sentence1': 1095, 'min_sentence2_length': 9, 'avg_sentence2_length': 52.76336996336996, 'max_sentence2_length': 158, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'assamese': {'num_samples': 1365, 'number_of_characters': 202808, 'unique_pairs': 1365, 'min_sentence1_length': 17, 'avg_sentence1_length': 100.45860805860806, 'max_sentence1_length': 271, 'unique_sentence1': 1095, 'min_sentence2_length': 9, 'avg_sentence2_length': 48.11868131868132, 'max_sentence2_length': 153, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'bengali': {'num_samples': 1365, 'number_of_characters': 204859, 'unique_pairs': 1365, 'min_sentence1_length': 5, 'avg_sentence1_length': 102.37582417582418, 'max_sentence1_length': 282, 'unique_sentence1': 1095, 'min_sentence2_length': 9, 'avg_sentence2_length': 47.704029304029305, 'max_sentence2_length': 139, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'marathi': {'num_samples': 1365, 'number_of_characters': 205734, 'unique_pairs': 1365, 'min_sentence1_length': 18, 'avg_sentence1_length': 102.1985347985348, 'max_sentence1_length': 272, 'unique_sentence1': 1095, 'min_sentence2_length': 10, 'avg_sentence2_length': 48.522344322344324, 'max_sentence2_length': 156, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'bhojpuri': {'num_samples': 1365, 'number_of_characters': 205063, 'unique_pairs': 1365, 'min_sentence1_length': 5, 'avg_sentence1_length': 101.88864468864469, 'max_sentence1_length': 266, 'unique_sentence1': 1095, 'min_sentence2_length': 12, 'avg_sentence2_length': 48.34065934065934, 'max_sentence2_length': 154, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'odiya': {'num_samples': 1365, 'number_of_characters': 210923, 'unique_pairs': 1365, 'min_sentence1_length': 17, 'avg_sentence1_length': 103.77509157509158, 'max_sentence1_length': 259, 'unique_sentence1': 1094, 'min_sentence2_length': 11, 'avg_sentence2_length': 50.747252747252745, 'max_sentence2_length': 149, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'sanskrit': {'num_samples': 1365, 'number_of_characters': 214093, 'unique_pairs': 1365, 'min_sentence1_length': 17, 'avg_sentence1_length': 105.03516483516484, 'max_sentence1_length': 272, 'unique_sentence1': 1095, 'min_sentence2_length': 8, 'avg_sentence2_length': 51.80952380952381, 'max_sentence2_length': 148, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'tamil': {'num_samples': 1365, 'number_of_characters': 239561, 'unique_pairs': 1365, 'min_sentence1_length': 15, 'avg_sentence1_length': 118.0923076923077, 'max_sentence1_length': 337, 'unique_sentence1': 1095, 'min_sentence2_length': 10, 'avg_sentence2_length': 57.41025641025641, 'max_sentence2_length': 156, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'turkish': {'num_samples': 1365, 'number_of_characters': 206729, 'unique_pairs': 1365, 'min_sentence1_length': 15, 'avg_sentence1_length': 103.18021978021979, 'max_sentence1_length': 266, 'unique_sentence1': 1095, 'min_sentence2_length': 9, 'avg_sentence2_length': 48.26959706959707, 'max_sentence2_length': 145, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'greek': {'num_samples': 1365, 'number_of_characters': 236520, 'unique_pairs': 1365, 'min_sentence1_length': 13, 'avg_sentence1_length': 117.69377289377289, 'max_sentence1_length': 339, 'unique_sentence1': 1095, 'min_sentence2_length': 10, 'avg_sentence2_length': 55.58095238095238, 'max_sentence2_length': 162, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'russian': {'num_samples': 1365, 'number_of_characters': 218108, 'unique_pairs': 1365, 'min_sentence1_length': 11, 'avg_sentence1_length': 109.51941391941392, 'max_sentence1_length': 306, 'unique_sentence1': 1095, 'min_sentence2_length': 11, 'avg_sentence2_length': 50.266666666666666, 'max_sentence2_length': 150, 'unique_sentence2': 1365, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}}}}
 ```