[ci-daily] Fix pipeline tests (#21257)

* use streaming dataset

* fix whisper's test

* add rescale argument to chunk_iter

tests/pipelines/test_pipelines_automatic_speech_recognition.py

@@ -201,8 +201,9 @@ class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase, metaclass=Pipel
     @require_torch
     @require_pyctcdecode
     def test_large_model_pt_with_lm(self):
-        dataset = load_dataset("Narsil/asr_dummy")
-        filename = dataset["test"][3]["file"]
+        dataset = load_dataset("Narsil/asr_dummy", streaming=True)
+        third_item = next(iter(dataset["test"].skip(3)))
+        filename = third_item["file"]
 
         speech_recognizer = pipeline(
             task="automatic-speech-recognition",