Minor modifications

README.md

@@ -159,29 +159,44 @@ TODO: Add comment about larger and noisier sets being better for training.
 
 ### Data Instances
 
+As a concrete example, loading the English data with a 95% quality of
+the train split produces the following:
+
 ```
+>>> data = load_dataset("GEM/opusparcus", lang="en", quality=95)
+
+>>> data
 DatasetDict({
     test: Dataset({
         features: ['lang', 'sent1', 'sent2', 'annot_score', 'gem_id'],
-        num_rows: 1047
+        num_rows: 982
     })
     validation: Dataset({
         features: ['lang', 'sent1', 'sent2', 'annot_score', 'gem_id'],
-        num_rows: 1013
+        num_rows: 1015
     })
     test.full: Dataset({
         features: ['lang', 'sent1', 'sent2', 'annot_score', 'gem_id'],
-        num_rows: 1586
+        num_rows: 1445
     })
     validation.full: Dataset({
         features: ['lang', 'sent1', 'sent2', 'annot_score', 'gem_id'],
-        num_rows: 1582
+        num_rows: 1455
     })
     train: Dataset({
         features: ['lang', 'sent1', 'sent2', 'annot_score', 'gem_id'],
-        num_rows: 590000
+        num_rows: 1000000
     })
 })
+
+>>> data["test"][0]
+{'annot_score': 4.0, 'gem_id': 'gem-opusparcus-test-1587', 'lang': 'en', 'sent1': "I haven 't been contacted by anybody .", 'sent2': "Nobody 's contacted me ."}
+
+>>> data["validation"][2]
+{'annot_score': 3.0, 'gem_id': 'gem-opusparcus-validation-1586', 'lang': 'en', 'sent1': 'No promises , okay ?', 'sent2': "I 'm not promising anything ."}
+
+>>> data["train"][1000]
+{'annot_score': 0.0, 'gem_id': 'gem-opusparcus-train-12501001', 'lang': 'en', 'sent1': 'Am I beautiful ?', 'sent2': 'Am I pretty ?'}
 ```
 
 ### Data Fields