Update lotte_passages.py

lotte_passages.py

@@ -217,8 +217,8 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                                               {"doc_id": 119596, "author": "Aaron", "text": "According to the charts at https://norlanbewley.com/bewleymusic/trombone-slide-position-chart/ and https://olemiss.edu/lowbrass/studio/fingeringcharts/tenorandbasstromboneposition.pdf... note Norlan Bewliey position(s) Ole Miss position(s) C 1, 3, 5 1, 3 C#/Db 2, 4, 5 2, 5 D 1, 3, 4 1, short 3, 4 D#/Eb 3, 2 short 2, 3 E 2 2 F 1 1 F#/Gb 3 short 3 G 2 short 2 G#/Ab 3 3 A 2 2 A#/Bb 1 1, 3 B 2 C 1, 3 C#/Db 2 D 1, short 3 D#/Eb short 2, 3 E 2 F 1"},
                                               {"doc_id": 119597, "author": "musicamante", "text": "This question could have tons of answers, but most of them would be based on psychoacustics (even if they are not aware about that). Its mostly about size and perception. Think about listening to two sounds. What would you listen better (or, what you could better differentiate)? listening to both sounds coming from the same source listening to those sounds coming from different positions The simple answer is clearly the second, but that depends on a sum of factors. Different sounds (most importantly, similar sounds, including two voices, no matter how different they could be) often have common frequencies that often create ghost notes in our heads (look up for Auditory illusions). Having [at least] two different sounds coming from two distinct sources (our two ears), makes us easier to make a better distinction between them and allows us to better create the correlation between those sounds. Its not that different from what the binocular vision allows us (I know, its not the same, but its just for the example): imagine seeing an apple on the proverbial table. When you see the same image from your left eye and from your right eye, youd have no depth perception. Yes, its almost the same image, but thats just it, a perception of an apple on a table. Having different (and, obviously, correlatable) images from both eyes gives you a hugely different perception of what youre seeing. You can see the size of the apple, related to that of the table; you can picture the size of the apple; if you were to touch the apple, you would certainly be able to on the first attempt. The same happens in the panning of similar (but differently-voiced) vocals. It gives them space. And a three-dimensional object is usually much more interesting than a bidimensional one. Having two similar sounds (as in doubled vocals, which share lots of common frequencies), creates more space, and makes it much more interesting. It is not the same as having a guitar on the left and a drum on the right, as theres much less correlation between them. Having doubled vocals on different positions makes them bigger, which, on our minds, also makes them more important."}]
                                 for row in error_rows:
-                                    yield row['doc_id'] + 1, {
-                                            "doc_id": row['doc_id'] + 1,
+                                    yield row['doc_id'], {
+                                            "doc_id": row['doc_id'],
                                             "author": row['author'],
                                             "text": row['text']
                                     }
@@ -248,7 +248,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                                     author = ""
                                 
                                 yield i + 1, {
-                                        "doc_id": current_query["doc_id"] + 1,
+                                        "doc_id": current_query["doc_id"],
                                         "author": author,
                                         "text": current_query["text"]
                                 }