Fix doc test quicktour dataset (#16929)

* fix doc test

* fix doc test
Co-authored-by: Patrick <patrick@pop-os.localdomain>

docs/source/en/quicktour.mdx

@@ -134,11 +134,9 @@ Audio files are automatically loaded and resampled when calling the `"audio"` co
 Let's extract the raw waveform arrays of the first 4 samples and pass it as a list to the pipeline:
 
 ```py
->>> speech_recognizer(dataset[:4]["audio"])
-[{'text': 'I WOULD LIKE TO SET UP A JOINT ACCOUNT WITH MY PARTNER HOW DO I PROCEED WITH DOING THAT'},
- {'text': "FONDERING HOW I'D SET UP A JOIN TO HET WITH MY WIFE AND WHERE THE AP MIGHT BE"}, 
- {'text': "I I'D LIKE TOY SET UP A JOINT ACCOUNT WITH MY PARTNER I'M NOT SEEING THE OPTION TO DO IT ON THE APSO I CALLED IN TO GET SOME HELP CAN I JUST DO IT OVER THE PHONE WITH YOU AND GIVE YOU THE INFORMATION OR SHOULD I DO IT IN THE AP AND I'M MISSING SOMETHING UQUETTE HAD PREFERRED TO JUST DO IT OVER THE PHONE OF POSSIBLE THINGS"},
- {'text': 'HOW DO I TURN A JOIN A COUNT'}]
+>>> result = speech_recognizer(dataset[:4]["audio"])
+>>> print([d["text"] for d in result])
+['I WOULD LIKE TO SET UP A JOINT ACCOUNT WITH MY PARTNER HOW DO I PROCEED WITH DOING THAT', "FONDERING HOW I'D SET UP A JOIN TO HET WITH MY WIFE AND WHERE THE AP MIGHT BE", "I I'D LIKE TOY SET UP A JOINT ACCOUNT WITH MY PARTNER I'M NOT SEEING THE OPTION TO DO IT ON THE APSO I CALLED IN TO GET SOME HELP CAN I JUST DO IT OVER THE PHONE WITH YOU AND GIVE YOU THE INFORMATION OR SHOULD I DO IT IN THE AP AND I'M MISSING SOMETHING UQUETTE HAD PREFERRED TO JUST DO IT OVER THE PHONE OF POSSIBLE THINGS", 'HOW DO I TURN A JOIN A COUNT']
 ```
 
 For a larger dataset where the inputs are big (like in speech or vision), you will want to pass along a generator instead of a list that loads all the inputs in memory. See the [pipeline documentation](./main_classes/pipelines) for more information.

docs/source/es/quicktour.mdx

@@ -133,11 +133,9 @@ Los archivos de audio se cargan y remuestrean automáticamente cuando se llama a
 Extraigamos las matrices de forma de onda cruda de las primeras 4 muestras y pasémosla como una lista al pipeline:
 
 ```py
->>> speech_recognizer(dataset[:4]["audio"])
-[{'text': 'I WOULD LIKE TO SET UP A JOINT ACCOUNT WITH MY PARTNER HOW DO I PROCEED WITH DOING THAT'},
- {'text': "FONDERING HOW I'D SET UP A JOIN TO HET WITH MY WIFE AND WHERE THE AP MIGHT BE"}, 
- {'text': "I I'D LIKE TOY SET UP A JOINT ACCOUNT WITH MY PARTNER I'M NOT SEEING THE OPTION TO DO IT ON THE APSO I CALLED IN TO GET SOME HELP CAN I JUST DO IT OVER THE PHONE WITH YOU AND GIVE YOU THE INFORMATION OR SHOULD I DO IT IN THE AP AND I'M MISSING SOMETHING UQUETTE HAD PREFERRED TO JUST DO IT OVER THE PHONE OF POSSIBLE THINGS"},
- {'text': 'HOW DO I TURN A JOIN A COUNT'}]
+>>> result = speech_recognizer(dataset[:4]["audio"])
+>>> print([d["text"] for d in result])
+['I WOULD LIKE TO SET UP A JOINT ACCOUNT WITH MY PARTNER HOW DO I PROCEED WITH DOING THAT', "FONDERING HOW I'D SET UP A JOIN TO HET WITH MY WIFE AND WHERE THE AP MIGHT BE", "I I'D LIKE TOY SET UP A JOINT ACCOUNT WITH MY PARTNER I'M NOT SEEING THE OPTION TO DO IT ON THE APSO I CALLED IN TO GET SOME HELP CAN I JUST DO IT OVER THE PHONE WITH YOU AND GIVE YOU THE INFORMATION OR SHOULD I DO IT IN THE AP AND I'M MISSING SOMETHING UQUETTE HAD PREFERRED TO JUST DO IT OVER THE PHONE OF POSSIBLE THINGS", 'HOW DO I TURN A JOIN A COUNT']
 ```
 
 Para un dataset más grande, donde los inputs son de mayor tamaño (como en habla/audio o visión), querrás pasar un generador en lugar de una lista que carga todos los inputs en memoria. Ve la [documentación del pipeline](./main_classes/pipelines) para más información.

utils/documentation_tests.txt

 docs/source/en/quicktour.mdx
+docs/source/es/quicktour.mdx
 docs/source/en/task_summary.mdx
 docs/source/en/model_doc/speech_to_text.mdx
 docs/source/en/model_doc/t5.mdx