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Datasets:
argmaxinc
/
whisperkit-evals-dataset

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'transcribe' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 620, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'transcribe' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1886, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 639, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'transcribe' with no child field to Parquet. Consider adding a dummy child field.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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testInfo
dict
memoryStats
dict
latencyStats
dict
systemMeasurements
dict
staticAttributes
dict
{ "audioFile": "121-123852-0003.mp3", "datasetDir": "librispeech-10mins", "datasetRepo": "argmaxinc/whisperkit-test-data", "date": "2024-10-25T08:34:14Z", "device": "Mac14,12", "diff": [ [ "thought", null ], [ " ", null ], [ "kills", null ], [ " ", null ], [ "me", null ], [ " ", null ], [ "that", null ], [ " ", null ], [ "i", null ], [ " ", null ], [ "am", null ], [ " ", null ], [ "not", null ], [ " ", null ], [ "thought", null ], [ " ", null ], [ "to", null ], [ " ", null ], [ "leap", null ], [ " ", null ], [ "large", null ], [ " ", null ], [ "lengths", null ], [ " ", null ], [ "of", null ], [ " ", null ], [ "miles", null ], [ " ", null ], [ "when", null ], [ " ", null ], [ "thou", null ], [ " ", null ], [ "art", null ], [ " ", null ], [ "gone", null ], [ " ", null ], [ "but", null ], [ " ", null ], [ "that", null ], [ " ", null ], [ "so", null ], [ " ", null ], [ "much", null ], [ " ", null ], [ "of", null ], [ " ", null ], [ "earth", null ], [ " ", null ], [ "and", null ], [ " ", null ], [ "water", null ], [ " ", null ], [ "wrought", null ], [ " ", null ], [ "i", null ], [ " ", null ], [ "must", null ], [ " ", null ], [ "attend", null ], [ " ", null ], [ "time", null ], [ " ", null ], [ "is", null ], [ " ", null ], [ "leisure", null ], [ " ", null ], [ "with", null ], [ " ", null ], [ "my", null ], [ " ", null ], [ "moan", null ], [ " ", null ], [ "receiving", null ], [ " ", null ], [ "nought", "-" ], [ "not", "+" ], [ " ", null ], [ "by", null ], [ " ", null ], [ "elements", null ], [ " ", null ], [ "so", null ], [ " ", null ], [ "slow", null ], [ " ", null ], [ "but", null ], [ " ", null ], [ "heavy", null ], [ " ", null ], [ "tears", null ], [ " ", null ], [ "badges", null ], [ " ", null ], [ "of", null ], [ " ", null ], [ "either", null ], [ " ", null ], [ "is", null ], [ " ", null ], [ "woe", null ] ], "model": "distil-whisper_distil-large-v3", "prediction": "Thought kills me that I am not thought, to leap large lengths of miles when thou art gone, But that so much of earth and water wrought, I must attend, time's leisure with my moan, Receiving not, by elements so slow, but heavy tears, badges of either's woe.", "reference": "thought kills me that i am not thought to leap large lengths of miles when thou art gone but that so much of earth and water wrought i must attend time's leisure with my moan receiving nought by elements so slow but heavy tears badges of either's woe", "timeElapsedInSeconds": 1.536520004272461, "timings": { "audioLoading": 0.047327995300292004, "audioProcessing": 0.00016403198242100002, "decoderLoadTime": 0.020372986793518, "decoderSpecializationTime": 0, "decodingFallback": 0, "decodingFiltering": 0.0005167722702020001, "decodingInit": 0.0066729784011840005, "decodingKvCaching": 0.028734564781188004, "decodingLoop": 1.457066059112548, "decodingNonPrediction": 0.19737529754638602, "decodingPredictions": 0.5477944612503051, "decodingSampling": 0.034135580062866, "decodingWindowing": 0.000370979309082, "decodingWordTimestamps": 0, "encoderLoadTime": 0.092249989509582, "encoderSpecializationTime": 0, "encoding": 0.672711968421936, "firstTokenTime": 751538054.822095, "fullPipeline": 1.464112043380737, "inputAudioSeconds": 23.58, "logmels": 0.036677002906799004, "modelLoading": 20.301865935325623, "pipelineStart": 751538054.057789, "prefill": 0.00006198883056640625, "prewarmLoadTime": 19.932031989097595, "tokenizerLoadTime": 0.24590396881103502, "totalAudioProcessingRuns": 1, "totalDecodingFallbacks": 0, "totalDecodingLoops": 72, "totalDecodingWindows": 1, "totalEncodingRuns": 1, "totalKVUpdateRuns": 71, "totalLogmelRuns": 1, "totalTimestampAlignmentRuns": 0 }, "wer": 0.020202020202020003 }
{ "measurements": [ { "average": 116.71831, "cumulativeTokens": 71, "max": 121, "min": 112, "numberOfMeasurements": 71, "timeElapsed": 1.513167977333068 } ], "postTranscribeMemory": 109, "preTranscribeMemory": 79, "totalNumberOfMeasurements": 71, "units": "MB" }
{ "measurements": [ { "average": 28.782443999999998, "cumulativeTokens": 71, "max": 47.218277, "min": 1.2311116, "numberOfMeasurements": 71, "timeElapsed": 1.513167977333068 } ], "totalNumberOfMeasurements": 71, "units": "Tokens/Sec" }
{ "batteryLevel": [ -1, -1 ], "diskSpace": [ { "freeSpaceGB": 43.4483, "totalSpaceGB": 1858.1918 }, { "freeSpaceGB": 43.448338, "totalSpaceGB": 1858.1918 } ], "systemMemory": [ { "appAllocatedGB": 0.07806724, "appUsedGB": 0.13638306, "swapUsedGB": 12922.551, "totalActiveGB": 4.0295105, "totalAvailableGB": 5.5323944, "totalUsedGB": 26.467606, "totalWiredGB": 7.8867645 }, { "appAllocatedGB": 0.115939915, "appUsedGB": 0.29425049999999997, "swapUsedGB": 12922.551, "totalActiveGB": 4.3216248, "totalAvailableGB": 5.131775, "totalUsedGB": 26.868225, "totalWiredGB": 8.025803 } ], "thermalState": [ 0, 0 ], "timeElapsed": [ 0.0009679794311520001, 1.000857949256897 ] }
{ "decoderCompute": "CPU and Neural Engine", "decodingOptions": { "chunkingStrategy": "vad", "clipTimestamps": [], "compressionRatioThreshold": 2.4, "concurrentWorkerCount": 4, "detectLanguage": false, "firstTokenLogProbThreshold": -1.5, "logProbThreshold": -1, "noSpeechThreshold": 0.6000000000000001, "sampleLength": 224, "skipSpecialTokens": false, "suppressBlank": false, "supressTokens": [], "task": { "transcribe": {} }, "temperature": 0, "temperatureFallbackCount": 5, "temperatureIncrementOnFallback": 0.2, "topK": 5, "usePrefillCache": true, "usePrefillPrompt": true, "verbose": true, "withoutTimestamps": false, "wordTimestamps": false }, "encoderCompute": "CPU and Neural Engine", "isLowPowerMode": "Disabled", "osVersion": "15.0.1" }
{ "audioFile": "4507-16021-0001.mp3", "datasetDir": "librispeech-10mins", "datasetRepo": "argmaxinc/whisperkit-test-data", "date": "2024-10-25T08:34:15Z", "device": "Mac14,12", "diff": [ [ "it", null ], [ " ", null ], [ "engenders", null ], [ " ", null ], [ "a", null ], [ " ", null ], [ "whole", null ], [ " ", null ], [ "world", null ], [ " ", null ], [ "la", null ], [ " ", null ], [ "pegre", "-" ], [ "pagre", "+" ], [ " ", null ], [ "for", null ], [ " ", null ], [ "which", null ], [ " ", null ], [ "read", "-" ], [ "red", "+" ], [ " ", null ], [ "theft", null ], [ " ", null ], [ "and", null ], [ " ", null ], [ "a", null ], [ " ", null ], [ "hell", null ], [ " ", null ], [ "la", null ], [ " ", null ], [ "pegrenne", "-" ], [ "pagren", "+" ], [ " ", null ], [ "for", null ], [ " ", null ], [ "which", null ], [ " ", null ], [ "read", "-" ], [ "red", "+" ], [ " ", null ], [ "hunger", null ] ], "model": "distil-whisper_distil-large-v3", "prediction": "It engenders a whole world, La Pagre, for which red theft, and a hell, La Pagren, for which red hunger.", "reference": "it engenders a whole world la pegre for which read theft and a hell la pegrenne for which read hunger", "timeElapsedInSeconds": 1.0686060190200801, "timings": { "audioLoading": 0.0037310123443600003, "audioProcessing": 0.000131964683532, "decoderLoadTime": 0.020372986793518, "decoderSpecializationTime": 0, "decodingFallback": 0, "decodingFiltering": 0.000226974487304, "decodingInit": 0.0031759738922110003, "decodingKvCaching": 0.015552997589111002, "decodingLoop": 1.052196025848388, "decodingNonPrediction": 0.10322201251983601, "decodingPredictions": 0.28002977371215804, "decodingSampling": 0.018363952636718, "decodingWindowing": 0.00011897087097100001, "decodingWordTimestamps": 0, "encoderLoadTime": 0.092249989509582, "encoderSpecializationTime": 0, "encoding": 0.6578400135040281, "firstTokenTime": 751538056.230784, "fullPipeline": 1.055438995361328, "inputAudioSeconds": 11.412, "logmels": 0.010085940361022, "modelLoading": 20.301865935325623, "pipelineStart": 751538055.549953, "prefill": 0.000010967254638671872, "prewarmLoadTime": 19.932031989097595, "tokenizerLoadTime": 0.24590396881103502, "totalAudioProcessingRuns": 1, "totalDecodingFallbacks": 0, "totalDecodingLoops": 40, "totalDecodingWindows": 1, "totalEncodingRuns": 1, "totalKVUpdateRuns": 39, "totalLogmelRuns": 1, "totalTimestampAlignmentRuns": 0 }, "wer": 0.205128205128205 }
{ "measurements": [ { "average": 121.53846, "cumulativeTokens": 39, "max": 122, "min": 116, "numberOfMeasurements": 39, "timeElapsed": 1.059676051139831 } ], "postTranscribeMemory": 111, "preTranscribeMemory": 109, "totalNumberOfMeasurements": 39, "units": "MB" }
{ "measurements": [ { "average": 21.842083, "cumulativeTokens": 39, "max": 37.105824, "min": 1.4606793, "numberOfMeasurements": 39, "timeElapsed": 1.059676051139831 } ], "totalNumberOfMeasurements": 39, "units": "Tokens/Sec" }
{ "batteryLevel": [ -1, -1 ], "diskSpace": [ { "freeSpaceGB": 43.44793, "totalSpaceGB": 1858.1918 }, { "freeSpaceGB": 43.44834, "totalSpaceGB": 1858.1918 } ], "systemMemory": [ { "appAllocatedGB": 0.106754124, "appUsedGB": 0.29640198, "swapUsedGB": 12922.605, "totalActiveGB": 4.534256, "totalAvailableGB": 4.779419, "totalUsedGB": 27.220581, "totalWiredGB": 8.233124 }, { "appAllocatedGB": 0.11986142400000001, "appUsedGB": 0.30337524, "swapUsedGB": 12922.605, "totalActiveGB": 4.4056396, "totalAvailableGB": 4.7801514, "totalUsedGB": 27.219849, "totalWiredGB": 8.367401 } ], "thermalState": [ 0, 0 ], "timeElapsed": [ 0.00011396408081, 1.001613020896911 ] }
{ "decoderCompute": "CPU and Neural Engine", "decodingOptions": { "chunkingStrategy": "vad", "clipTimestamps": [], "compressionRatioThreshold": 2.4, "concurrentWorkerCount": 4, "detectLanguage": false, "firstTokenLogProbThreshold": -1.5, "logProbThreshold": -1, "noSpeechThreshold": 0.6000000000000001, "sampleLength": 224, "skipSpecialTokens": false, "suppressBlank": false, "supressTokens": [], "task": { "transcribe": {} }, "temperature": 0, "temperatureFallbackCount": 5, "temperatureIncrementOnFallback": 0.2, "topK": 5, "usePrefillCache": true, "usePrefillPrompt": true, "verbose": true, "withoutTimestamps": false, "wordTimestamps": false }, "encoderCompute": "CPU and Neural Engine", "isLowPowerMode": "Disabled", "osVersion": "15.0.1" }
{ "audioFile": "61-70968-0057.mp3", "datasetDir": "librispeech-10mins", "datasetRepo": "argmaxinc/whisperkit-test-data", "date": "2024-10-25T08:34:16Z", "device": "Mac14,12", "diff": [ [ "these", null ], [ " ", null ], [ "escapades", null ], [ " ", null ], [ "are", null ], [ " ", null ], [ "not", null ], [ " ", null ], [ "for", null ], [ " ", null ], [ "old", null ], [ " ", null ], [ "gamewell", "-" ], [ "game", "+" ], [ " ", null ], [ "well", "+" ], [ " ", "+" ], [ "lad", null ], [ " ", null ], [ "his", null ], [ " ", null ], [ "day", null ], [ " ", null ], [ "has", null ], [ " ", null ], [ "come", null ], [ " ", null ], [ "to", null ], [ " ", null ], [ "twilight", null ] ], "model": "distil-whisper_distil-large-v3", "prediction": "These escapades are not for old game well lad. His day has come to twilight.", "reference": "these escapades are not for old gamewell lad his day has come to twilight", "timeElapsedInSeconds": 0.923228025436401, "timings": { "audioLoading": 0.0019530057907100001, "audioProcessing": 0.00014305114746000002, "decoderLoadTime": 0.020372986793518, "decoderSpecializationTime": 0, "decodingFallback": 0, "decodingFiltering": 0.00015640258789, "decodingInit": 0.003206014633178, "decodingKvCaching": 0.009669899940490001, "decodingLoop": 0.9070889949798581, "decodingNonPrediction": 0.065401196479797, "decodingPredictions": 0.17352581024169902, "decodingSampling": 0.011882781982421, "decodingWindowing": 0.00007390975952148439, "decodingWordTimestamps": 0, "encoderLoadTime": 0.092249989509582, "encoderSpecializationTime": 0, "encoding": 0.65736711025238, "firstTokenTime": 751538057.296995, "fullPipeline": 0.9103599786758421, "inputAudioSeconds": 5.148, "logmels": 0.009851932525634, "modelLoading": 20.301865935325623, "pipelineStart": 751538056.616794, "prefill": 0.000011086463928222651, "prewarmLoadTime": 19.932031989097595, "tokenizerLoadTime": 0.24590396881103502, "totalAudioProcessingRuns": 1, "totalDecodingFallbacks": 0, "totalDecodingLoops": 25, "totalDecodingWindows": 1, "totalEncodingRuns": 1, "totalKVUpdateRuns": 24, "totalLogmelRuns": 1, "totalTimestampAlignmentRuns": 0 }, "wer": 0.148148148148148 }
{ "measurements": [ { "average": 120, "cumulativeTokens": 24, "max": 120, "min": 120, "numberOfMeasurements": 24, "timeElapsed": 0.9128559827804561 } ], "postTranscribeMemory": 117, "preTranscribeMemory": 111, "totalNumberOfMeasurements": 24, "units": "MB" }
{ "measurements": [ { "average": 15.115092, "cumulativeTokens": 24, "max": 26.52901, "min": 1.4658564, "numberOfMeasurements": 24, "timeElapsed": 0.9128559827804561 } ], "totalNumberOfMeasurements": 24, "units": "Tokens/Sec" }
{ "batteryLevel": [ -1 ], "diskSpace": [ { "freeSpaceGB": 43.44834, "totalSpaceGB": 1858.1918 } ], "systemMemory": [ { "appAllocatedGB": 0.10855466, "appUsedGB": 0.30285645, "swapUsedGB": 12922.605, "totalActiveGB": 4.535385, "totalAvailableGB": 4.7814636, "totalUsedGB": 27.218536, "totalWiredGB": 8.235153 } ], "thermalState": [ 0 ], "timeElapsed": [ 0.00012505054473800002 ] }
{ "decoderCompute": "CPU and Neural Engine", "decodingOptions": { "chunkingStrategy": "vad", "clipTimestamps": [], "compressionRatioThreshold": 2.4, "concurrentWorkerCount": 4, "detectLanguage": false, "firstTokenLogProbThreshold": -1.5, "logProbThreshold": -1, "noSpeechThreshold": 0.6000000000000001, "sampleLength": 224, "skipSpecialTokens": false, "suppressBlank": false, "supressTokens": [], "task": { "transcribe": {} }, "temperature": 0, "temperatureFallbackCount": 5, "temperatureIncrementOnFallback": 0.2, "topK": 5, "usePrefillCache": true, "usePrefillPrompt": true, "verbose": true, "withoutTimestamps": false, "wordTimestamps": false }, "encoderCompute": "CPU and Neural Engine", "isLowPowerMode": "Disabled", "osVersion": "15.0.1" }
{ "audioFile": "61-70968-0043.mp3", "datasetDir": "librispeech-10mins", "datasetRepo": "argmaxinc/whisperkit-test-data", "date": "2024-10-25T08:34:17Z", "device": "Mac14,12", "diff": [ [ "friends", null ], [ " ", null ], [ "said", null ], [ " ", null ], [ "montfichet", "-" ], [ "montfiche", "+" ], [ " ", null ], [ "faintly", null ], [ " ", null ], [ "to", null ], [ " ", null ], [ "the", null ], [ " ", null ], [ "wrestlers", null ], [ " ", null ], [ "bear", null ], [ " ", null ], [ "us", null ], [ " ", null ], [ "escort", null ], [ " ", null ], [ "so", null ], [ " ", null ], [ "far", null ], [ " ", null ], [ "as", null ], [ " ", null ], [ "the", null ], [ " ", null ], [ "sheriff", null ], [ " ", null ], [ "is", null ], [ " ", null ], [ "house", null ] ], "model": "distil-whisper_distil-large-v3", "prediction": "friends said montfiche faintly to the wrestlers bear us escort so far as the sheriff's house", "reference": "friends said montfichet faintly to the wrestlers bear us escort so far as the sheriff's house", "timeElapsedInSeconds": 0.9245750904083251, "timings": { "audioLoading": 0.0023989677429190003, "audioProcessing": 0.00010204315185500001, "decoderLoadTime": 0.020372986793518, "decoderSpecializationTime": 0, "decodingFallback": 0, "decodingFiltering": 0.000148892402648, "decodingInit": 0.0033450126647940003, "decodingKvCaching": 0.009999155998229, "decodingLoop": 0.907031059265136, "decodingNonPrediction": 0.065494179725646, "decodingPredictions": 0.176627993583679, "decodingSampling": 0.011777758598327, "decodingWindowing": 0.00008893013000488283, "decodingWordTimestamps": 0, "encoderLoadTime": 0.092249989509582, "encoderSpecializationTime": 0, "encoding": 0.657129049301147, "firstTokenTime": 751538058.21749, "fullPipeline": 0.9104430675506591, "inputAudioSeconds": 6.84, "logmels": 0.006837010383605, "modelLoading": 20.301865935325623, "pipelineStart": 751538057.540484, "prefill": 0.000011086463928222651, "prewarmLoadTime": 19.932031989097595, "tokenizerLoadTime": 0.24590396881103502, "totalAudioProcessingRuns": 1, "totalDecodingFallbacks": 0, "totalDecodingLoops": 26, "totalDecodingWindows": 1, "totalEncodingRuns": 1, "totalKVUpdateRuns": 25, "totalLogmelRuns": 1, "totalTimestampAlignmentRuns": 0 }, "wer": 0.060606060606060004 }
{ "measurements": [ { "average": 118, "cumulativeTokens": 25, "max": 118, "min": 118, "numberOfMeasurements": 25, "timeElapsed": 0.913382053375244 } ], "postTranscribeMemory": 117, "preTranscribeMemory": 117, "totalNumberOfMeasurements": 25, "units": "MB" }
{ "measurements": [ { "average": 15.735287, "cumulativeTokens": 25, "max": 27.615122, "min": 1.4717656, "numberOfMeasurements": 25, "timeElapsed": 0.913382053375244 } ], "totalNumberOfMeasurements": 25, "units": "Tokens/Sec" }
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{ "audioFile": "61-70968-0009.mp3", "datasetDir": "librispeech-10mins", "datasetRepo": "argmaxinc/whisperkit-test-data", "date": "2024-10-25T08:35:01Z", "device": "Mac14,12", "diff": [ [ "like", null ], [ " ", null ], [ "as", "-" ], [ "is", "+" ], [ " ", null ], [ "not", null ], [ " ", null ], [ "young", null ], [ " ", null ], [ "master", null ], [ " ", null ], [ "though", null ], [ " ", null ], [ "i", null ], [ " ", null ], [ "am", null ], [ " ", null ], [ "an", null ], [ " ", null ], [ "old", null ], [ " ", null ], [ "man", null ] ], "model": "distil-whisper_distil-large-v3", "prediction": "Like is not, young master, though I am an old man.", "reference": "like as not young master though i am an old man", "timeElapsedInSeconds": 0.854294061660766, "timings": { "audioLoading": 0.001922965049743, "audioProcessing": 0.000149965286254, "decoderLoadTime": 0.020372986793518, "decoderSpecializationTime": 0, "decodingFallback": 0, "decodingFiltering": 0.00010383129119800001, "decodingInit": 0.0033029317855830004, "decodingKvCaching": 0.007102131843566, "decodingLoop": 0.8382459878921501, "decodingNonPrediction": 0.047200202941894004, "decodingPredictions": 0.126652836799621, "decodingSampling": 0.008658289909362, "decodingWindowing": 0.00006306171417236328, "decodingWordTimestamps": 0, "encoderLoadTime": 0.092249989509582, "encoderSpecializationTime": 0, "encoding": 0.657230973243713, "firstTokenTime": 751538102.150323, "fullPipeline": 0.841648936271667, "inputAudioSeconds": 4.608, "logmels": 0.006264090538024, "modelLoading": 20.301865935325623, "pipelineStart": 751538101.473448, "prefill": 0.000012993812561035151, "prewarmLoadTime": 19.932031989097595, "tokenizerLoadTime": 0.24590396881103502, "totalAudioProcessingRuns": 1, "totalDecodingFallbacks": 0, "totalDecodingLoops": 19, "totalDecodingWindows": 1, "totalEncodingRuns": 1, "totalKVUpdateRuns": 18, "totalLogmelRuns": 1, "totalTimestampAlignmentRuns": 0 }, "wer": 0.09523809523809501 }
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{ "audioFile": "61-70968-0021.mp3", "datasetDir": "librispeech-10mins", "datasetRepo": "argmaxinc/whisperkit-test-data", "date": "2024-10-25T08:35:02Z", "device": "Mac14,12", "diff": [ [ "surely", null ], [ " ", null ], [ "we", null ], [ " ", null ], [ "can", null ], [ " ", null ], [ "submit", null ], [ " ", null ], [ "with", null ], [ " ", null ], [ "good", null ], [ " ", null ], [ "grace", null ] ], "model": "distil-whisper_distil-large-v3", "prediction": "Surely we can submit with good grace.", "reference": "surely we can submit with good grace", "timeElapsedInSeconds": 0.799168944358825, "timings": { "audioLoading": 0.0012218952178950002, "audioProcessing": 0.000113010406494, "decoderLoadTime": 0.020372986793518, "decoderSpecializationTime": 0, "decodingFallback": 0, "decodingFiltering": 0.00006997585296630861, "decodingInit": 0.003260970115661, "decodingKvCaching": 0.0046541690826410005, "decodingLoop": 0.7842609882354731, "decodingNonPrediction": 0.030938982963562, "decodingPredictions": 0.087776064872741, "decodingSampling": 0.005759000778198, "decodingWindowing": 0.000058054924011230476, "decodingWordTimestamps": 0, "encoderLoadTime": 0.092249989509582, "encoderSpecializationTime": 0, "encoding": 0.657233953475952, "firstTokenTime": 751538103.004877, "fullPipeline": 0.7875850200653071, "inputAudioSeconds": 2.7720000000000002, "logmels": 0.007504940032958001, "modelLoading": 20.301865935325623, "pipelineStart": 751538102.327036, "prefill": 0.000010967254638671872, "prewarmLoadTime": 19.932031989097595, "tokenizerLoadTime": 0.24590396881103502, "totalAudioProcessingRuns": 1, "totalDecodingFallbacks": 0, "totalDecodingLoops": 13, "totalDecodingWindows": 1, "totalEncodingRuns": 1, "totalKVUpdateRuns": 12, "totalLogmelRuns": 1, "totalTimestampAlignmentRuns": 0 }, "wer": 0 }
{ "measurements": [ { "average": 156, "cumulativeTokens": 12, "max": 156, "min": 156, "numberOfMeasurements": 12, "timeElapsed": 0.7892879247665401 } ], "postTranscribeMemory": 154, "preTranscribeMemory": 154, "totalNumberOfMeasurements": 12, "units": "MB" }
{ "measurements": [ { "average": 8.707305, "cumulativeTokens": 12, "max": 15.348742, "min": 1.4725286, "numberOfMeasurements": 12, "timeElapsed": 0.7892879247665401 } ], "totalNumberOfMeasurements": 12, "units": "Tokens/Sec" }
{ "batteryLevel": [ -1 ], "diskSpace": [ { "freeSpaceGB": 43.444653, "totalSpaceGB": 1858.1918 } ], "systemMemory": [ { "appAllocatedGB": 0.15112668, "appUsedGB": 0.2701416, "swapUsedGB": 12922.605, "totalActiveGB": 5.472275, "totalAvailableGB": 5.4965973, "totalUsedGB": 26.503403, "totalWiredGB": 8.033249 } ], "thermalState": [ 0 ], "timeElapsed": [ 0.000126957893371 ] }
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{ "audioFile": "61-70968-0035.mp3", "datasetDir": "librispeech-10mins", "datasetRepo": "argmaxinc/whisperkit-test-data", "date": "2024-10-25T08:35:03Z", "device": "Mac14,12", "diff": [ [ "taking", null ], [ " ", null ], [ "advantage", null ], [ " ", null ], [ "of", null ], [ " ", null ], [ "this", null ], [ " ", null ], [ "the", null ], [ " ", null ], [ "squire", null ], [ " ", null ], [ "is", null ], [ " ", null ], [ "few", null ], [ " ", null ], [ "men", null ], [ " ", null ], [ "redoubled", null ], [ " ", null ], [ "their", null ], [ " ", null ], [ "efforts", null ], [ " ", null ], [ "and", null ], [ " ", null ], [ "encouraged", null ], [ " ", null ], [ "by", null ], [ " ", null ], [ "robin", "-" ], [ "robbins", "+" ], [ " ", null ], [ "is", "-" ], [ " ", "-" ], [ "and", null ], [ " ", null ], [ "the", null ], [ " ", null ], [ "little", null ], [ " ", null ], [ "stroller", null ], [ " ", null ], [ "is", null ], [ " ", null ], [ "cries", null ], [ " ", null ], [ "fought", null ], [ " ", null ], [ "their", null ], [ " ", null ], [ "way", null ], [ " ", null ], [ "to", null ], [ " ", null ], [ "him", null ] ], "model": "distil-whisper_distil-large-v3", "prediction": "Taking advantage of this, the squire's few men redoubled their efforts, and, encouraged by Robbins and the little stroller's cries, fought their way to him.", "reference": "taking advantage of this the squire's few men redoubled their efforts and encouraged by robin's and the little stroller's cries fought their way to him", "timeElapsedInSeconds": 1.0742130279541011, "timings": { "audioLoading": 0.002719044685363, "audioProcessing": 0.00011599063873200001, "decoderLoadTime": 0.020372986793518, "decoderSpecializationTime": 0, "decodingFallback": 0, "decodingFiltering": 0.00023758411407400002, "decodingInit": 0.003226995468139, "decodingKvCaching": 0.016009211540222, "decodingLoop": 1.057078003883361, "decodingNonPrediction": 0.10675895214080801, "decodingPredictions": 0.28433001041412304, "decodingSampling": 0.018775582313537, "decodingWindowing": 0.00009703636169433595, "decodingWordTimestamps": 0, "encoderLoadTime": 0.092249989509582, "encoderSpecializationTime": 0, "encoding": 0.6575100421905511, "firstTokenTime": 751538103.80585, "fullPipeline": 1.060366988182067, "inputAudioSeconds": 8.028, "logmels": 0.007487058639526, "modelLoading": 20.301865935325623, "pipelineStart": 751538103.127722, "prefill": 0.000010013580322265622, "prewarmLoadTime": 19.932031989097595, "tokenizerLoadTime": 0.24590396881103502, "totalAudioProcessingRuns": 1, "totalDecodingFallbacks": 0, "totalDecodingLoops": 42, "totalDecodingWindows": 1, "totalEncodingRuns": 1, "totalKVUpdateRuns": 41, "totalLogmelRuns": 1, "totalTimestampAlignmentRuns": 0 }, "wer": 0.072727272727272 }
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{ "measurements": [ { "average": 22.804947, "cumulativeTokens": 41, "max": 38.865467, "min": 1.4686661, "numberOfMeasurements": 41, "timeElapsed": 1.063627958297729 } ], "totalNumberOfMeasurements": 41, "units": "Tokens/Sec" }
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End of preview.

WhisperKit Evals Dataset

Overview

The WhisperKit Evals Dataset is a comprehensive collection of our speech recognition evaluation results, specifically designed to benchmark the performance of WhisperKit models across various devices and operating systems. This dataset provides detailed insights into performance and quality metrics, and model behavior under different conditions.

Dataset Structure

The dataset is organized into JSON files, each representing a single evaluation run. The file naming convention encodes crucial metadata: {Date}_{CommitHash}/{DeviceIdentifier}_{ModelVersion}_{Timestamp}_{Dataset}_{UUID}.json

File Content

Each JSON file contains an array of objects with a testInfo key, which includes:

  • diff: An array of character-level differences between the reference and predicted transcriptions.
  • prediction: The full predicted transcription.
  • reference: The full reference transcription.
  • wer: Word Error Rate for the specific transcription.
  • model: The model used for the test.
  • device: The device on which the test was run.
  • timings: Various timing metrics for the transcription process.
  • datasetRepo: Repo on huggingface that was used as test data for the benchmark
  • datasetDir: Subfolder in the datasetRepo containing the specific audio files used
  • audioFile: The name of the audio file used.
  • date: Date that the benchmark was performed

It also includes various system measurements taken during the benchmarking process such as system diagnostics, memory, latency, and configuration.

Key Features

  1. Comprehensive Model Evaluation: Results from various WhisperKit models, including different sizes and architectures.
  2. Cross-Device Performance: Tests run on a range of devices, from mobile to desktop, allowing for performance comparisons.
  3. Detailed Metrics: Includes Word Error Rate (WER), processing speed, and detailed transcription comparisons.
  4. Rich Metadata: Each file contains extensive metadata about the test conditions and setup.

Use Cases

This dataset is invaluable for:

  • Benchmarking speech recognition models
  • Analyzing performance across different hardware
  • Identifying specific strengths and weaknesses in transcription tasks

Contributing

We welcome contributions to expand and improve this dataset. Please refer to BENCHMARKS.md in the source repo.

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